The primary objective of this phase i effort is to design and implement a software prototype for automatically translation expert systems into a neural network representation to allow expert systems to derive benefits of neural networks, including adaptability, improved real-time performance, fault… More

We propose to develop an intelligent tactical decision aids (tda) system neural network by developing a prototype expert system, and converting it to a neural network representation using an automatic translator. expert systems technology is required to represent a high degree of intelligence and… More

A significant number of physically disabled, non-vocal people could benefit from access to computers, but cannot make use of a computer keyboard. by using an eye tracking system, these individuals can painstakingly compose words and sentences letter by letter by focusing an eye on alphabetic images… More

An innovative combination of artificial intelligence (ai) techniques will be investigated to meet nasa's scheduling needs for representation, schedule design, and schedule analysis. ai knowledge representations such as frames, semantic networks, and rules will be used for capturing schedule… More

The overall phase i objective is to prove the feasibility of the environment knowledge base system. this proof of feasibility will be accomplished by knowledge engineering, prototype development, and a phase ii software design. because the required knowledge is both extensive and diverse, it cannot… More

See Charles River Analytic comment. It applies here also.

The ultimate aim of this research is to develop a computer system to aid in producing accurate parts obsolescence predictions. This can be accomplished through the automated use of previous experience, which consists of information on existing parts. The feasibility of an automated system which uses… More

We propose an innovatiave combination of artificial intelligence (AI) techniques to improve the Navy's capabilities and reduce the time required for flight test plan representation and development, and flight data analysis. These capabilities will be available as part of an integrated workstation… More

We propose an innovative combination of artificial intelligence (AI) techniques to meet NASA's scheduling needs for representation, schedule design and schedule analysis. We will use AI knowledge representations including frames, semantic networks and rules for capturing schedule components and… More

The goal of this proposed research is to prove the feasibility of a software solution to provide intelligent tutoring for the REGIS Training Center. Because students often learn best by example, we intend to design a tutoring system around example problems. We will apply the Artificial Intelligence… More

The Landing Signal Officer (LSO) faces many challenges. Although his primary concern remains safety, he must maintain an extremely rapid recovery rate. This dictates small times between each landing, and pressure to not wave-off unless absolutely necessary. LSO's have little time to make the … More

The current Semi-Automated Forces (SAF) OPFOR does not provide a realistic interactive opponent for the Close Combat Tactical Trainer (CCTT). This problem exists because the SAF in CATT only encodes Soviet doctrine utilized in Central Europe. The U.S. Army does not anticipate meeting an army based… More

We will develop a general schema for naval warfare tactics representation using Artificial Intelligence (AI) and Expert System technology to capture the human decision processes. Since the representation and automatic execution of tactics is a complex problem we will take an integrated approach… More

In Phase I, we will investigate a case-based reasoning (CBR) approach to intelligent tutoring systems (ITSs) and explore the feasibility of semi-automated/automated course authoring techniques to speed collection and structuring of domain knowledge. We will develop a prototype example-based… More

In Phase I, we will investigate a case-based reasoning (CBR) approach to intelligent tutoring systems (ITSs) and explore the feasibility of semi-automated/automated course authoring techniques to speed collection and structuring of domain knowledge. We will develop a prototype example-based… More

SHAI, in cooperation with our subcontractors, Hughes Space System Division of Hughes Aircraft Company, will absolutely demonstrate the feasibility of using Case-Based and Model-Based Reasoning (CBR and MBR) to reliably and rapidly resolve unknown satellite anomalies, through the development of Phase… More

The identification and resolution of unknown satellite anomalies currently demands a significant portion of costly technical resources. We have done work demonstrating the feasibility of employing a synergistic combination of model-based and case-based reasoning methods to the anomaly… More

Intelligent tutoring systems (ITSs) have shown great promise in military training domains and can achieve many of the same benefits as one-on-one instruction, in a cost-effective manner. However, the key to the effectiveness of this instruction is the successful transition of laboratory systems to… More

We propose an innovative combination of artificial intelligence and data visualization techniques in the design of a tool for graphical manipulation and browsing of document collections. By drawing on our experience with information processing environments and our work developing useful graphical… More

We propose an innovative combination of artificial intelligence (AI) techniques in the design of a software agent based tool for the discovery of information in networks of heterogeneous information resources. Specifically, our agent would act as a meta level interface to database resources in order… More

In Phase I, we will investigate a case-based reasoning (CBR) approach to Operator Assessment and Operator Machine Interface Enhancement and explore the feasibility of semi-automated/automated domain knowledge entry techniques to speed collection and structuring of domain knowledge. We will … More

We propose an innovative combination of biologically inspired and other modern artificial intelligence (AI) techniques in the design of an integrated and evolving decision aid architecture. By drawing on our experience developing machine learning techniques and modeling decision processes, we have… More

We propose an innovative combination of artificial intelligence (AI) techniques in the design of a unique system for defensive information warfare. By drawing on our experience developing intrusion detection systems, software agents, and machine learning techniques, we propose to integrate… More

This proposal presents the opportunity to apply our existing experience, research, and technology in Intelligent Tutoring Systems (ITSs) and pedagogical techniques to the adult literacy problem. ITSs assess, model, diagnose, and automatically develop a tailored course of remedial instruction … More

An automatic system will be developed to bring the experiences and machine shop environment of experienced machinists to Numerical Control (NC) programmers and Computer Aided Manufacturing (CAM) software operators. This Intelligent Tutoring System (ITS) will teach machining principles and how to… More

The Landing Signal Officer (LSO) faces many challenges. Although his primary concern remains safety, he must maintain an extremely rapid recovery rate. This dictates small times between each landing, and pressure to not wave-off unless absolutely necessary. LSO's have little time to make the … More

We propose an innovative combination of artificial intelligence (AI) techniques in the design of a unique system for defensive information warfare. By drawing on our experience developing intrusion detection systems, software agents, and machine learning techniques, we propose to integrate… More

In Phase I, we will investigate a case-based reasoning (CBR) approach to intelligent tutoring systems (ITSs) and explore the feasibility of semi-automated/automated course authoring techniques to speed collection and structuring of domain knowledge. We will develop a prototype example-based… More

We propose an innovative combination of artificial intelligence (AI) techniques in the design of a software agent based tool for the discovery of information in networks of heterogeneous information resources. Specifically, our agent would act as a meta level interface to database resources in order… More

In Phase I, we will investigate a case-based reasoning (CBR) approach to Operator Assessment and Operator Machine Interface Enhancement and explore the feasibility of semi-automated/automated domain knowledge entry techniques to speed collection and structuring of domain knowledge. We will … More

Intelligent tutoring systems (ITSs) have shown great promise in military training domains and can achieve many of the same benefits as one-on-one instruction, in a cost-effective manner. However, the key to the effectiveness of this instruction is the successful transition of laboratory systems to… More

We propose an innovative architecture for a unique and important class of decision aids. Traditionally, decision aids have been used to help manage the vast amounts of information that may be pertinent to time-critical decisions. In contrast, our project will focus on developing a tool that… More

We present an innovative combination of artificial intelligence and human computer interaction techniques in the design of a new means of multimedia database access. By drawing on our experience with case base reasoning (CBR) and information retrieval and filtering, we have devised an eclectic… More

In Phase I, SHAI will investgate, design, and implement a prototype of an intelligent Multi User Simulation Environment (MUSE) which operates across the Internet. This MUSE would be used to run tactical scenarios with geographically distributed team players. The most difficult aspect of this… More

In phase I, we will investigate the use of Object Oriented technology and Computer Based Training (CBT) for the development of an extensible, visual, rapid prototyping environment for prototyping distributed, secure, part-task trainers. It is believed that through the use of a component model, a… More

We propose an innovative combination of modern artificial intelligence (AI) and human-computer interaction (HCI) techniques in the design of an adaptive interface agent architecture. By drawing on our experience developing software agents, machine learning, and plan recognition techniques we have… More

We propose an innovative combination of artificial intelligence (AI) techniques in the design of a predictive planning and preemption (PPP) system. Specifically, we propose to enhance military planning processes by exploiting predictive battlespace knowledge to shape the future actions of the enemy… More

Not Available Available commercially off the shelf software (COTS) has the potential to address the requirements for an intelligent security agent module. Agent software is designed to be deployed in remote computer systems in order to process at the desired location, or take advantage of available… More

Not Available Sensors Unlimited will grow, fabricate and test Master Oscillator Grating Coupled Power Amplifier (MO-GCPA) lasers designed to operate with diffraction-limited beam divergence up to 5 W CW power in the 0.97-1.1 (magnetic moment)m wavelength range. The goal of this program is the… More

We will develop automated intelligent software for the identification task in the CDC on-board CVN-77. This intelligent identification software module (IISM) will perform as well as or better than human watch standers. We will knowledge engineer currentCDC identification experts, since it is not… More

This project will improve astronauts' ability to maintain their own medical health during long-duration space missions. We will produce an integrated set of intelligent software applications that coordinate automatic intelligent patient interviewing and recommendations, ground-based emergency… More

Knowledge generation is one of the keys to an organization's long-term viability, not to mention its competitiveness. Knowledge generation includes the creation of new ideas, the recognition of new patterns, the synthesis of disparate concepts, and the development of new processes. We propose a new… More

We propose an innovative combination of machine learning techniques and pragmatics modeling in pursuit of high accuracy, domain- and language-independent First Story Detection. Our Topic-Oriented Pragmatics and Invariant Chaining (TOPIC) system willautomatically construct topic category models that… More

To minimize operations costs, mission analysts and planners are not usually present during satellite contacts. Nonetheless, analysts must be apprised of all key information gained, especially regarding anomalous events.SHAI, with our contractor Honeywell Technology Solutions, Inc., proposes to… More

Future plans in both the military and commercial sectors call for increased use of satellite constellations in low earth orbit. These systems significantly increase the burden for ground-based system management because more satellites must be managed, andeach satellite is in view for only brief… More

We propose a novel work-centered interface development environment that will dramatically reduce the complexity of interaction design. To this end, we will support an enhanced Contextual Design process with a set of tools that will enable developers todraw on the aggregate experience of other… More

We propose a new Defensive Information Warfare (DIW) paradigm that will effectively mitigate the risks to our nation's computer networks posed by a critical shortage of security savvy system administrators. We developed this approach in response to ourrecognition that information assurance tools… More

We propose to develop an innovative Artificial Intelligence (AI) toolkit interface to OPNET Modeler, a COTS simulation engine, to configure and optimize network configuration and operations in the field. This toolkit will allow rapid design andoptimization of communications networks without… More

We propose an innovative combination of text analysis and data mining techniques in the design of an information intelligence-based program management system. By drawing on our extensive experience, we have devised a novel approach to translating free andfield-delineated text into quantitative data… More

We propose to develop an innovative software architecture for real-time planning, monitoring, and control that includes as a core component a rich capacity for human interaction and collaboration. Because developing such a system represents a formidable challenge, we suggest an integrated approach… More

Case-based instruction is a major alternative instructional approach widely used in management training and certainly applicable as well to high-level military training dealing with tactical and strategic decision-making. A wide range of instructionalpractices and technological approaches has been… More

We propose a new autonomous Web assistant that draws on a number of innovative technologies in order to intelligently mine information with a minimum of human interaction. The Active Web Assistant (AWARE) will utilize a novel two-promged approach to information retrieval. By simultaneously acting as… More

Continuing advances in computer networking, distributed computing, and the standardization and exchange of medical information are making it possible for clinicians to retrieve increasing amounts of patient data on-line. However, accessing upwards ofhundreds of pages of data for each patient can… More

Humanity has been concerned with the issue of effective leadership since time immemorial. However, as the world changes so must the qualities of an effective leader. Today's world is more uncertain, fast paced, and global than ever before. New ways ofthinking about effective leadership are emerging… More

We propose to develop an innovative software architecture for real-time planning, monitoring, and control that includes as a core component a rich capacity for human interaction and collaboration. Because developing such a system represents a formidable challenge, we suggest an integrated approach… More

We propose a new autonomous Web assistant that draws on a number of innovative technologies in order to intelligently mine information with a minimum of human interaction. The Active Web Assistant (AWARE) will utilize a novel two-promged approach to information retrieval. By simultaneously acting as… More

DESCRIPTION (provided by applicant): SHAI proposes to bring two instructional technologies together to compliment neuroscience lectures and distance learning. Specifically we want to embed Computer Simulations of experiments and the chemical, genetic, and physiological… More

SHAI, in cooperation with our subcontractor, Interface and Control Systems Inc., will develop an operational Mission Planner for Formation-Flying Clusters and demonstrate its potential for use on the TechSat 21 flight experiment. This system will enablepayload scheduling based on detailed orbital… More

As ever more of industry and commerce moves onto electronic networks, there is a growing appreciation for the usefulness of expressive general models of enterprise activities, such as design and manufacturing. Ontologies are commitments to formal declarative multi-purpose representations with… More

SHAI, in cooperation with our subcontractor, Interface and Control Systems Inc., will develop an operational Mission Planner for Formation-Flying Clusters and demonstrate its potential for use on the TechSat 21 flight experiment. This system will enablepayload scheduling based on detailed orbital… More

We propose to develop a new form of data mining software application that will be uniquely capable of overcoming the challenges to the effective use of advanced data analysis algorithms in support of epidemiology and comparative analyses. In the design ofMediMiner we have been motivated primarily… More

As ever more of industry and commerce moves onto electronic networks, there is a growing appreciation for the usefulness of expressive general models of enterprise activities, such as design and manufacturing. Ontologies are commitments to formal declarative multi-purpose representations with… More

SHAI proposes the development of an Intelligent Operations Scheduling System (IOSS). It will automatically schedule and optimize processing operations and utilization of resources, including floor space. It will be based on a general scheduling approach where every decision is made by a general… More

SHAI proposes the development of an Intelligent Operations Scheduling System (IOSS). It will automatically schedule and optimize processing operations and utilization of resources, including floor space. It will be based on a general scheduling approach where every decision is made by a general… More

High performance tactical decision-making requires commanders to apply detailed and situation-specific knowledge, as well as high-level thinking habits and skills applicable across diverse tactical situations. These skills include modeling a thinkingenemy, using all available assets, and… More

High performance tactical decision-making requires commanders to apply detailed and situation-specific knowledge, as well as high-level thinking habits and skills applicable across diverse tactical situations. These skills include modeling a thinkingenemy, using all available assets, and… More

We propose an innovative combination of machine learning techniques and pragmatics modeling in pursuit of high accuracy, domain-and language-independent first story detection and topic tracking. Our Topic-Oriented Pragmatics and Invariant Chaining (TOPIC)system will exploit a diverse variety of… More

SHAI, in cooperation with our subcontractor, 21st Century Systems, Inc. (21CSI), will develop SatConPlan, a pre-pass planning aid that will improve the efficacy and accuracy of preparations for satellite contacts, and that will enable improved offlinesimulation-based training for satellite and… More

We propose an eclectic integrated text/data mining system (FlexiMiner) that is targeted specifically at assisting program managers, laboratory and center directors, etc. in making decisions that increase the probability that the Army's strategic technologyrequirements will be met in a timely… More

SHAI, in cooperation with our subcontractor, OPNET Technologies, Inc., propose to continue our development of an innovative Artificial Intelligence (AI) toolkit interface to OPNET's Modeler and other networking COTS products, to configure and optimizenetwork configuration and operations in the… More

"The ultimate goal is to improve the cognitive skills of AOC personnel by providing them practice, evaluation, and feedback in simulated AOC operational scenarios. This will be accomplished by the development of an Intelligent Tutoring System for AOCoperations. The ITS will allow instructors to… More

"We propose an innovative approach to achieving Cognitive Readiness with respect to Information Warfare through a combination of automated monitoring, adaptive information display, real-time coaching, and the capture of scenarios suitable for training andrehearsal. In particular we will investigate… More

70384 High performance computing systems, built from clusters of inexpensive, commodity personal computers, are being used increasingly at DOE laboratories to support nuclear physics computing. However, the low reliability of these systems is a serious concern. While tools exist that… More

This Small Business Innovation Research (SBIR) Phase I project seeks to develop and evaluate a software prototype to assess the technical and commercial feasibility of an Object-Oriented Design Learning Environment (OODLE) that will help software engineers acquire expert-level object-oriented design… More

"We propose a software development framework where the system under construction can reason about what its components do and how they do it. In order to satisfy end-user needs and design constraints, the system determines needed changes in its configurationby reasoning with the components'… More

"We propose to construct an intelligent software agent system for identifying misleading information, called Skeptic, atop a foundation of domain-independent heuristics collected and refined during decades of study of successful human detectors ofdeception. The heuristics will provide our Skeptic… More

Knowledge generation is one of the keys to an organization's long-term viability, not to mention its competitiveness. Knowledge generation includes the creation of new ideas, the recognition of new patterns, the synthesis of disparate concepts, and the development of new processes. We propose a new… More

Knowledge generation is one of the keys to an organization's long-term viability, not to mention its competitiveness. Knowledge generation includes the creation of new ideas, the recognition of new patterns, the synthesis of disparate concepts, and the development of new processes. We propose a new… More

"We propose to develop an innovative software tool that will permit military analysts to rapidly create SASO gaming systems customized for specific missions without the assistance of a knowledge engineer or programmer. Developing such a tool represents asignificant challenge; thus, we suggest an… More

"We propose an innovative combination of machine learning techniques coupled with an extensible framework of integrated feature type classifiers (called "feature experts") capable of performing high-accuracy verb sense disambiguation. Our DisambiguatingIntegrated Verb Sense Experts (DIVERSE) system… More

"Training military medical personnel to maintain readiness for medical emergencies and combat-related operations is a critical problem. Distance learning solutions are required for providing effective training while minimizing the time away from theimportant peacetime duty of providing quality… More

Continuing advances in computer networking, distributed computing, and the standardization and exchange of medical information make it possible for clinicians to retrieve increasing amounts of patient data on-line. However, accessing upwards of hundredsof pages of data for each patient can… More

We propose to specify, design, and prototype an intelligent authoring tool for informed consent. This limited prototype will demonstrate the feasibility of helping users create complete and accessible informed consent documents. The authoring system willprompt the user for the information required… More

Continuing advances in computer networking, distributed computing, and the standardization and exchange of medical information make it possible for clinicians to retrieve increasing amounts of patient data on-line. However, accessing upwards of hundredsof pages of data for each patient can… More

"We propose a decision aid that will give military planners, from battle commanders to psychological operators, a handle on the nature and behavior of adversarial forces in an unfamiliar cultural climate. The aid will provide products including intelligencecollection requirements, profiles of… More

This Small Business Innovative Research project uses analogical reasoning in machines to support analogical reasoning in humans. It was motivated by recent discoveries in psychology by Gentner and her colleagues indicating that, without explicit guidance,humans do a poor job of discerning useful… More

We propose a multifaceted approach to improving Information Warfare training that exploits recent advances in intelligent tutoring technology and natural language processing. The focus of our efforts will be to develop technology that can produce highlyaccurate assessments of individual student… More

We propose to construct an intelligent software agent system for identifying misleading information, called Skeptic, which exploits scaffolding provided by a collection of largely domain-independent deception detection heuristics. These heuristics provideSkeptic with a significant advantage over… More

The wargames employed for Air Force curriculums to date suffer from (1) varying interfaces that require repeated learning for each wargame use, (2) non-trivial development time to simulate modern warfare, and (3) rigid adjudication engines that narrowlyfocus on force-on-force conflicts. We propose… More

We propose an approach to supporting effects-based counterterrorism operations through the development of an intelligent decision aid system. Our approach employs a unique combination of behavior modeling, adversarial planning, and intelligence-centeredsituation assessment technologies to provide… More

70384S02-II The reliability of distributed scientific computer programs, run on large-scale, multi-institutional, heterogeneous computing systems commonly referred to as Grids, requires improvement. Job failure is a major impediment to achieving acceptable levels of throughput for cluster and… More

70384S02-II The reliability of distributed scientific computer programs, run on large-scale, multi-institutional, heterogeneous computing systems commonly referred to as Grids, requires improvement. Job failure is a major impediment to achieving acceptable levels of throughput for cluster and… More

This Small Business Innovation Research Phase I project will address the skill gap that exists within the software development community in the production of work-centered software. To this end, Stottler Henke will develop a novel software development environment that reduces the complexity of… More

We propose to develop EarthTutor, an Intelligent Tutoring System that extends NASA's Image2000 software, and an accompanying authoring tool used to create new tutorials. The system will be innovative in that it delivers a learning experience that is more visual, interactive, and adaptive than… More

Training military medical personnel to maintain readiness for medical emergencies and combat-related operations is a critical problem. Distance learning solutions are required for providing effective training while minimizing the time away from theimportant peacetime duty of providing quality… More

Information warfare will play an increasingly crucial role in achieving military superiority. Increased training is needed to develop a force with the required expertise to achieve information superiority. We propose a simulation-based Intelligent TutoringSystem (ITS) to train teams of Air Force… More

We propose a decision aid that will give military planners, from battle planners to psychological operators, a handle on the nature and behavior of adversarial forces in an unfamiliar cultural climate. The aid will provide products including intelligencecollection requirements, profiles of… More

We propose to develop an innovative performance evaluator to enable training developers and instructors to better monitor and assess training lesson and overall curriculum effectiveness. This will be accomplished by adapting our general IntelligentTutoring system development platform, that already… More

We propose to develop VERTICAL, (VLA Experimental Resource for Testing Innovative Configurations And Lightings), an innovative analytic test tool that can be used to support vertical takeoff and landing (VTOL)/rotorcraft ship VLA analysis and testing atthe test team member's work area. This will be… More

We propose the development of an advanced, intelligent, robust engagement planner for the Ground Based Midcourse Defense (GMD) system. Ultimately the improved GMD engagement planning capability will allow better quality plans; faster planning; larger,more complex threats; additional defense system… More

We propose the development of an innovative software tool that will permit developers with little or no human factors training to produce user interfaces that are well suited to the end-users and their needs, as well as to the situation in which the software will be used. Developing such a tool… More

Patients are at risk of adverse reactions to and interactions between medical drugs. Though databases exist for reporting of adverse drug events (ADEs), more must be done to speed the discovery of

A variety of forces have led to decreases in the average experience of intelligence analysts. This shift is an incredibly important development since a lack of experience has been strongly linked to: failures in locating key information sources; theincorporation of faulty information in reports;… More

The U.S. military and civil society both face the increasing prospect that enemies will employ horrific weapons to cause mass casualties. Any effective response to large-scale medical emergencies will hinge on the decision-making and teamwork of medicaland emergency professionals, which in turn is… More

The use of wargames in the Air Force curriculum to date has been hindered by the significant amount of time and effort required to develop new wargames, as well as by drastically varying interfaces that impose a steep learning curve on the student. We thus propose to develop an advanced wargame … More

We propose to develop EarthTutor, an Intelligent Tutoring System (ITS) that extends NASA Image2000, and an accompanying authoring tool used to create new tutorials. The system will be innovative in that it delivers a learning experience that is more visual, interactive and adaptive than experiences… More

Security, especially information security, is playing an increasingly crucial role in achieving military superiority. Ensuring security involves missions requiring the ability to think effectively under stress. We propose a simulation-based Intelligent Tutoring System (ITS) to train Air Force… More

Stottler Henke proposes to continue an innovative analytic test tool that can be used to support vertical takeoff and landing (VTOL)/rotorcraft ship VLA analysis and testing at the test team member's work area. This allows test team members to fly shipboard approaches in specific aircraft, to the… More

We propose the development of an innovative software tool that will permit payload developers with no human factors training to produce interfaces that are well suited to the tasks required by the payload, and that conform to NASA commonality standards. Developing such a tool represents a… More

We propose an innovative yet pragmatic approach to the matching of information warfare requirements to solutions. The proposed system concept, Resolve, will be fashioned from an eclectic set of proven technologies with the goal of both improving search precision and recall, and dramatically… More

We propose to build for the Air Force a next-generation adversary model that can dynamically generate realistic adversary actions in an operational-level predictive simulation. This system will use advanced artificial intelligence behavior modeling techniques to capture the full range of potential… More

Stottler Henke proposes an innovative approach to supporting crisis response operations that will allow for the amassing and exploitation of lessons learned during the resolution of previous incidents while simultaneously providing an advanced situational awareness capability. To accomplish these… More

The ultimate goal is to augment the behavioral models of automated individual combatants with a realistic and carefully validated set of weapon firing behaviors for virtual MOUT training environments. These behaviors will represent a formalization of target acquisition and firing execution tactics… More

We propose an innovative software system that offers the benefits of systematic group decision analysis, within tactical timescales and without requiring an expert facilitator. To accomplish this, our system will accumulate and index knowledge (e.g., variables, issues, constraints, and… More

The ultimate goal is to augment the behavioral models of automated individual combatants with a realistic and carefully validated set of weapon-firing behaviors for virtual MOUT training environments. These behaviors will represent a formalization of target acquisition and firing execution tactics… More

The need to make rapid and well-informed decisions about custom task organizations or ad-hoc problem-focused staffing is shared by organizations large and small, but is especially critical to the military. The problem has components of (1) resource discovery and characterization, (2) task analysis… More

Students in distance learning classes have at least as much need to ask questions of their instructors as students in more conventional settings. However, distance instructors are not always available when students need help. Across a course and its repeat offerings, many questions recur… More

We propose an innovative approach to supporting the Army's Homeland Security (HLS) mission that turns the diversity of perspectives that exist amongst largely autonomous HLS communities in DoD and non-DoD organizations into an exploitable strength. In particular, we propose to develop an approach… More

We propose an innovative technology concept that will greatly improve the ability of DoD and non-DoD Homeland Security (HLS) organizations to coordinate their responses to terrorism events. In Phase I we cultivated relationships with three Washington State emergency management organizations that… More

DESCRIPTION (provided by applicant): Stottler Henke Associates in collaboration with Teachers College, Columbia University, proposes to build a software system for teaching scientific inquiry in the context of nutrition science, The goal of the proposed research is to develop a computer based… More

CITTP provides an intelligent tutor system (ITS) framework for individuals to rehearsing their team tasks using computer based high-fidelity simulations. CITTP is used as a complement and a cost effective means to make join team integration more effective. CITTP concentrates in defining three key… More

As processing and manufacturing facilities quickly progress from barcode to radio-frequency (RFID) and similar technologies to track the movements of resources (tools, parts, support equipment), many related opportunities to cut costs and increase safety by reducing human error are emerging. We… More

We propose to address the primary challenges to the timely distillation of time-critical data into actionable information by exploiting the synergies amongst information discovery, extraction, and fusion processes. The proposed advisable assistant concept, Sentinel, will be comprised of three… More

Stottler Henke proposes an innovative approach to supporting crisis response operations that will allow for increased situational awareness and improved response time. We will accomplish these goals using a two-pronged approach. First, we will provide improved workflow management and activity… More

We propose to build for the Air Force a next-generation adversary model that can dynamically generate realistic adversary behavior in an operational-level air campaign simulation. This system will use advanced artificial intelligence behavior modeling techniques to capture a broad range of… More

We propose an innovative yet pragmatic approach to the matching of information warfare requirements to solutions. The proposed system concept, Resolve, will be fashioned from an eclectic set of proven technologies with the goal of both improving search precision and recall, and dramatically… More

The major opportunity we present is our substantial intelligent planning and scheduling experience and existing customizable intelligent planning, resource selection, and scheduling architecture along with our in-depth knowledge of combined arms fires and effects planning, integration, coordination,… More

We propose to streamline the production of `self-mapping' documents through the tight integration of evidence-driven automated tagging with a mixed-initiative approach to tag validation and editing. The proposed system, GeoDoc, will deviate substantially from the traditional corpus driven… More

Stottler Henke proposes a software system, the Intelligent Surface Threat Identification System (ISTIS), based on Artificial Intelligence (AI) techniques and our previous work, an existing Navy ID system, the Intelligent Identification Software Module (IISM). ISTIS will automatically analyze the… More

While great progress has been made in the lowest levels of data fusion, practical advances in behavior modeling and prediction remain elusive. While certainly there remains much room to improve data fusion algorithms, the most critical failing of existing approaches is their inability to support… More

We propose to address the growing challenge of information overload in network-centric information systems through the development of an agent based framework that improves the warfighter's awareness of critical information while simultaneously preserving those aspects that make systems like the… More

Arguably the most crucial aspect of maintaining Computer Network Defense (CND) readiness is having adequate supply of highly trained personnel to serve on the frontlines. Training today is mostly limited to classrooms, books, and expensive seminars, all of which fail to provide the practical… More

With its constantly evolving portfolio of highly technical systems requiring human construction maintenance and operation, NASA has an extreme form of a common yet challenging training problem: how to ensure that personnel are qualified on the (often changing) procedures required to work on or with… More

We propose a cognitively inspired architecture for deploying an automated intelligent onboard operator assistant. This assistant facilitates the onboard control while finding a compromise between increasing the operator's awareness of the system tasks and decreasing the operator's workload. The core… More

Scheduling of medical appointments across the military enterprise presents a number of problems. Studies done of the responsiveness of numerous Military Treatment Facilities have highlighted the need for improvements in the scheduling process. In response to these findings, the Department of Defense… More

The U.S. military and civil society both face the increasing prospect that enemies will employ horrific weapons to cause mass casualties. Any effective response to large-scale medical emergencies will hinge on the decision-making and teamwork of medical and emergency professionals, which in turn is… More

We will streamline the production of `self-mapping' documents through the tight integration of evidence-driven automated tagging with a mixed-initiative approach to tag validation and editing. GeoDoc will deviate substantially from the traditional corpus driven approaches to metadata generation in… More

The most critical limitation of existing approaches to behavior modeling and prediction is their inability to support the required knowledge modeling and continuing refinement under realistic constraints (e.g., few historic exemplars, the lack of knowledge engineering support, and the need for rapid… More

Scheduling the daily activities of the crew on a human space mission is currently a cumbersome job performed by a large team of operations experts on the ground. This process is expensive, inflexible, and inconvenient for the crew in the spacecraft. As mission durations increase, it will become… More

We propose an innovative approach to facilitating the information discovery and assimilation that is associated with intelligence analysis. More precisely we will develop a novel approach to achieving multilingual semantic machine understanding under realistic conditions where sufficient parallel… More

With the rapid release of new software applications, builds and patches for existing applications, and increased mobility of software across networks, more of our systems will run software applications that may not have a full pedigree of evaluation and testing to ensure that they are free from… More

When a network is global in size, the idea that it can be adequately monitored and adjusted in real time by a limited human staff of operators rapidly becomes obsolete. Future networks will require much more approaches that assume a high degree of fully automated prioritization, fault recovery, and… More

We propose a new peer-to-peer system, Emerge, that will support expressive, structured queries over peers sharing XML data in heterogeneous formats. Our system utilizes a novel combination of features to combat the query routing and semantic interoperability problems that plague existing systems. … More

Joint interdependence is a mindset that embraces the concept of purposeful reliance on other service and joint capabilities to maximize their complementary and reinforcing effects while minimizing service vulnerabilities. Interdependence requires a broad understanding of the different strengths and… More

We propose an innovative approach to filling the need for tools supporting safe sharing in high OPTEMPO situations. A major objective for our Just Enough Data (JED) sharing system is supporting the expression of policy in a form that the user will find natural to the task while also being… More

Modernizing naval vessels is a tremendously complex task, requiring coordinated effort by representatives of many different organizations, and subject to frequently shifting temporal, fiscal, physical, and technological constraints. The Navy lacks automated tools to support key modernization… More

DESCRIPTION (provided by applicant) We propose to develop EMS/IM ITS, a suite of simulation-based intelligent tutoring systems and scenarios that will enable practice-based learning of WMD emergency medical services incident management principles and skills, including situation assessment,… More

Military operations in urban terrain (MOUT) are posing unprecedented training challenges for small infantry units. We propose to build RADIX: Rapid Authoring of Demonstrations for Infantry Experience. We will lay the foundations for this work by conducting a survey of literature on demonstrations as… More

The ADEPT project aims to improve the state-of-the-art with respect to capabilities and costs of scenario-based training in support of future space exploration missions at NASA. The key features of ADEPT will include: (1) a scenario-based intelligent tutoring system focused on the problem of… More

The management of distributed scientific computing tasks in Grid environments, such as those operated by the DOE national laboratories, has not been completely addressed by (and sometimes is complicated by) existing workflow management software. The ability to continuously identify critical changes… More

We propose a novel approach to extracting domain-specific, time-critical information from the text of online chat. Tradition Information Extraction (IE) approaches are unsuitable for analyzing chat streams for many reasons: the text is "dirty" (containing typos, misspellings, sporadic use of case,… More

Systems for supporting mission-critical decision making are crucial in helping the human decision maker deal with information overload, to decrease the time for decision making, and to increase the reliability and robustness of the decision making process. We propose an innovative system called… More

We propose the development of a software system to assist analysts with the process of characterizing, monitoring, and predicting adversary behavior. We adopt a case-based approach to the representation of behavior signatures. Based on a variety of possible activities and processes, created by… More

We propose the development of a system for deep cultural adaptation of synthetic agent behaviors and environmental objects within mission training simulations. This adaptation will incorporate cognitive cultural influences into trainee interactions to meet the training objectives of adapting… More

Effectively targeting and engaging time sensitive targets (TST) is an important part of modern warfare. However, doing so remains challenging because of the various considerations that go into deciding whether a given popup is a TST and whether to pursue it. Systems for supporting such… More

Stottler Henke proposes to develop a software system to predict which facilities in an urban environment are likely to repetitively support activities by hostile actors. This system will draw upon an extensible, heterogeneous geographic information system containing detailed geographic and facility… More

As the Air Force has moved increasingly towards distributed networked environment for C2ISR missions, teams often operate remotely, and decision-making is distributed. Traditionally team training involved human observers for performance assessment, diagnosis, and after-action review and other… More

We propose the development of an advanced, intelligent, robust engagement planner for the Ballistic Missile Defense System (BMDS). Ultimately the improved missile defense engagement planning capability will allow better quality plans; faster planning; larger, more complex threats; additional… More

Simulations and games are effective as training tools only when accompanied by considerable instructional support. This necessitates the presence of instructors to provide one-on-one help to students working with simulations. Much of the instructional support can be automated by Intelligent Tutoring… More

Stottler Henke proposes InfoAssist, an integrated, unobtrusive and networked approach to document classification and dissemination. This system will enable document authors and reviewers to make use of the release and publication history of all content in a particular document when assigning… More

In order for simulation based training to help prepare warfighters for modern asymmetric tactics, opponent models of behavior must become more dynamic and contemporary and challenge trainees with adaptive threats consistent with those increasingly encountered by the military. The proposed Adaptive… More

We propose to develop a computer-based training system for socio-cultural effects-based air operations planning. The system would present planning scenarios to a single student or multiple students to provide simulated planning experiences with automated hinting and instruction. For example, a… More

Rapid and effective knowledge transfer is essential to timely and effective decision making in organizations of all types and sizes. We propose an innovative approach that will overcome the primary challenges to the rapid and accurate presentation of ideas, analysis, and plans. At the core of the… More

Job performance measurement is of critical importance to any organization's health. It is important not only to recognize and reward good performance, but also to groom future leaders. Developing effective assessment techniques that are valid, effective and fair is an ongoing challenge. Assessing… More

We propose to build a platform to support the development of self aware processing systems. There are several contributions that the project makes. First, drawing upon our expertise in developing intelligent systems for system management, we define essential self awareness capabilities and define… More

It is tremendously difficult to outfit and modernize naval vessels. Coordinated effort is required from representatives of many different organizations, subject to frequently shifting temporal, fiscal, physical, and technological constraints. The Navy lacks automated tools to support key… More

As online chat and e-mail become more integral to critical operations, it becomes more important to recognize critical information and direct it where it is most needed. In response to these needs, we propose a novel approach to extracting domain-specific, time-critical information from dynamic… More

The Intelligent Surface Threat Identification System (ISTIS) is based on Artificial Intelligence (AI) techniques. ISTIS will automatically analyze the data associated with a track, hypothesize, draw inferences, and make ID related recommendations. These data include the tracks' location and/or… More

We propose to develop the Intelligent, Semi-Automated Procedure Aid (ISAPA) intended for use by International Space Station (ISS) ground controllers to increase the efficiency and safety of flight operations while reducing costs for NASA. ISAPA is innovative in that it is centered on a… More

Effectively targeting and engaging time sensitive targets (TST) is an important part of modern warfare. However, using UAVs for this task is highly challenging because of difficulties in optimally retargeting the UAVs while taking into consideration multiple variables, such as time to target,… More

Joint interdependence embraces the concept of purposeful reliance on other service and joint capabilities to maximize their complementary and reinforcing effects while minimizing service vulnerabilities. High performance teamwork is enabled by better understanding of the processes, capabilities, and… More

Game-based synthetic task environments are receiving increased attention as a mechanism for delivering highly effective training. However, these systems are very expensive to create, and there is little empirical research regarding their efficacy for specific training objectives. Stottler Henke… More

We propose to develop Instructional Tools for Training Programs (ITTP), a web-based toolkit whose ultimate goal is to help instructors and training designers accomplish more effective training by providing them a resource with which to apply principles and techniques from the science of learning, in… More

The MPICE metrics framework and analysis software present an opportunity to improve significantly the planning and execution of stability and reconstruction operations in conflict environments. We propose to develop a scenario-based intelligent tutoring system for MPICE. Key elements of our… More

Stottler Henke proposes an integrated approach to document classification and dissemination termed InfoAssist. We will build upon the state-of-the-art technologies developed in Phase I to provide intelligent dirty word detection methods as well as techniques based on historical documents that help… More

Future space programs will require extensive monitoring of complex, highly instrumented systems such as the Orion spacecraft and lunar/Martian habitats. However, future missions will carry crews far from Earth, so they will need to operate with much greater independence and assume many system… More

Among the Army's many responsibilities, Counterinsurgency (COIN) operations are assuming growing importance. FM 3-24, /Counterinsurgency/, defines the role, importance, and general properties of an effective COIN campaign design process: exploratory, multi-dimensional, collaborative, and iterative… More

Given the evolving risks posed by irregular adversaries, we must consider a wide variety of strategic and tactical threats beyond suicide bombers and improvised explosive devices. In order to mitigate these threats we must dramatically improve our ability to draw predictive value from the massive… More

Stottler Henke proposes to develop an advanced, intelligent, robust engagement planner for the Ballistic Missile Defense System (BMDS). Ultimately the improved missile defense engagement planning capability will allow better quality plans; faster planning; larger, more complex threats; additional… More

Stottler Henke proposes to develop a generalized toolset around a new and innovative network data encoding strategy with the goals of: (1) increasing the scalability of network analysis and visualization tools; (2) fundamentally improving the intelligibility of network models and thereby increasing… More

Databases are proven shared repositories for the enterprise, and conceptual modeling is solidly established as a valuable step in defining the contents of those databases. However, database contents, and the models that define them, are generally static, snapshot-oriented views of the world. While… More

We propose to build for the Navy a decision modeling system that can generate realistic, robust command and control behavior in a campaign-level constructive warfare simulation. This system will consist of a model editor and a model execution engine. The model editor will enable analysts to… More

In response to recent events, the U.S. has recognized that it must devote more resources to Stability, Security, Transition and Reconstruction (SSTR) operations. Such operations cannot be carried out by any one department, agency, or organization; they require coordinated efforts within and outside… More

The changing tactics of asymmetric threats present an ongoing need to disseminate lessons learned from the battlefield to a wide audience of personnel. Interactive virtual environments have been shown to be effective for team training, and distributed game-based architectures contribute an added… More

As the Air Force has moved increasingly towards distributed networked environments for C2ISR missions, teams often operate remotely, and decision-making is distributed. Traditionally team training involved human observers for performance assessment, diagnosis, and after-action review and other… More

Effectively targeting and engaging time sensitive targets (TST) is an important part of modern warfare. However, doing so remains challenging because of the need to integrate multiple considerations that go into deciding whether a given popup is a TST and whether to pursue it. Systems for supporting… More

Execution and monitoring of command plans are central for spacecraft operations. Diverse execution engines and languages exist to define such command plans. Language dependent development tools have been created for such languages. However, there is not a reusable framework and code base that can be… More

The paper-based manual crew procedures that formed the basis of mission management for the manned space program are being replaced by electronic procedure representations and execution engines that support adjustable autonomy. Adhering to the conventions of the legacy procedures makes procedure… More

Today's military and civilian operating and organizational environments are characterized by unprecedented levels of complexity, ambiguity, and dynamic change. Military leaders routinely operate in environments where change is the only constant. Their success demands mental agility and adaptation in… More

The MPICE metrics framework and data management and analysis tool present an opportunity to significantly improve the planning and execution of stability and reconstruction operations in conflict environments. We propose to develop MPICE-ITS, a scenario-based intelligent tutoring system to train… More

Military personnel who take part in intense periods of second language (L2) training are at risk of losing their second language skills during periods of underutilization. This proposal describes a research effort aimed at addressing this problem through the creation of the Second Language Retention… More

We propose the design and development of a game-based, demonstration-oriented framework for development and execution of rigorous instruction. The approach seeks inclusion of the entire instructional cycle into the game environment, including information

Future space programs will require extensive monitoring of complex, highly instrumented systems such as the Orion spacecraft and lunar/Martian habitats. To handle tasks and situations that cannot be fully delegated to automation software, future flight controllers and crew must be able to monitor,… More

Nothing yet.

Stottler Henke proposes to develop WatchTutor, a scenario-based intelligent tutoring system (ITS) that will train students to operate and maintain advanced target discriminations systems such as the SPS-74 CVN Periscope Detection Radar. WatchTutor will provide individualized, practice-based… More

We propose an innovative approach that will overcome the primary challenges to the rapid and accurate presentation of ideas, analyses, and plans. At the core of the proposed PresentWell system is an authoring aid designed to address the typical presenter's lack of competency in communication,… More

Assessing the impact on ongoing missions of threats to space systems is very difficult partly because it is not sufficient to simply assume the capabilities being provided to different missions by the space system in question will simply cease since those capabilities will be re-allocated to other… More

The ultimate goal of this proposed effort is to improve the BMDS engagement planning capability by extending the current, advanced, intelligent midcourse engagement planning effort to the booster and terminal phases, mapping the planning onto the distributed command and control architecture, and… More

The burden of manually developing and maintaining ontologies to support the changing requirements of real-world applications represents a substantial barrier to the successful deployment of advanced information exploitation and knowledge management technologies. One promising approach to overcoming… More

Fifth generation aircraft, including the F-22 and the F-35, have been designed with a set of unprecedented capabilities. The challenge that lies ahead is to better train pilots to take advantage of these capabilities. The need for a flexible training environment designed specifically for the F22 and… More

Counterspace efforts will become increasingly important as advances in technology intensify our reliance on space-based assets and as adversaries develop improved methods to threaten these assets. Maintaining holistic situation awareness will be particularly important in counterspace pursuits due to… More

Recent innovations in information collection have vastly increased the amount of digital content available. Providing collaborators with access to this information during day to day activities is vital. However, search services that tie together information across multiple security domains cannot be… More

Federated search tools are of great value to users with timely information needs, but little attention has been directed towards solving the security issues that arise with these tools in the context of multiple security domains. Search results and the requested documents must be cleared for the… More

We propose to construct a computer program to help young children cope with home life while a parent is absent. This program is meant to help fill the time and parental voids that happen immediately upon deployment all the way up to homecoming. The application we propose, Assisted Reading with… More

Scheduling Air Force''''s Space Communications resources is a large, complex, distributed problem. We have developed an innovative planning and scheduling system architecture which facilitates the development of more intelligent, optimizing scheduling algorithms. It has been applied to NASA Ground… More

Managing the resources and responses to DCS situations is a large, complex problem. We have developed an innovative planning and resource optimization system architecture which facilitates the development of more intelligent, optimizing resource management algorithms. It has been applied to NASA… More

The ultimate goal is to build a Path Planner (PP) that can rapidly plan collision-free routes for a variety of UAVs in highly dynamic environments with large numbers of threats. Our Phase I includes Stanford University''s Professor Jean-Claude Latombe, a pioneer in autonomous path planning, at the… More

DESCRIPTION (provided by applicant): Childhood obesity has increased almost three-fold over the past several decades and diagnosis of type 2 diabetes in youth has increased thirty-fold with serious personal health and societal consequences. The purpose of this proposal is to develop and evaluate an… More

We propose to construct a deception detection system which will exploit scaffolding provided by a collection of largely domain-independent deception detection heuristics. These heuristics, integrated through a novel evidential reasoning system, will provide the proposed system, called Skeptic, with… More

A military without good leadership is a mob. Identification, preparation, guidance and mentoring of potential leaders are critical functions across all services. Leadership training and support can be substantially improved by refinement of theories and models on what constitutes good leadership,… More

We propose to address the growing challenge of information overload in network-centric information systems through the development of an agent-based framework that improves the warfighter's awareness of critical information. In particular, we propose to enable adaptive information visualization in… More

The Action Notation Modeling Language (ANML) is a relatively new language for specifying planning domain models. These models are created by someone who understands the planning domain and can express the essential aspects of the domain as ANML variables, functions, and actions in a way that… More

Hand held applications (apps), such as those run on Android and iPhone devices, have the possibility of revolutionizing military training by increasing the availability and engagement of training material. Training on relatively inexpensive mobile devices is inherently available to users - they can… More

While great progress has been made in the lowest levels of data fusion, practical advances in behavior modeling and prediction remain elusive. While there remains much room to improve data fusion algorithms, the most critical failing of existing approaches is their inability to support the required… More

The ultimate goal is to develop a distributed, intelligent AFSCN Scheduling, Deconfliction, and Automated Negotiation System with user extensible constraints and graphically modifiable rules and decision processes. This will require SOC-based intelligent software that allows graphical editing and… More

We propose a new approach to the automatic mining and validation of organizational data from available sources like the Web called organization profiling that will enable the generation of a persistent and up-to-date database of organizational attributes and relationships of interest to an analyst. … More

The goal of this proposed effort is to develop a Mid-level Manager (MLM) that automatically handles all aspects associated with GDPAAs, including global optimized assignment of communication requests to the GDPAAs and dish antennas, intelligent smart beam assignment, multi level beam compatibility… More

The ultimate goal of this proposed effort is to improve the ability to respond to DCS situations by developing a DCS/SSA general scheduling service. This includes better quality resource allocations and schedules; faster response; handling larger, more complex situations; and handling additional… More

The ultimate goal is to build a Path Planner (PP) that can rapidly plan collision-free routes for a variety of aircraft in highly dynamic environments with large numbers of threats. Our Phase II includes Advanced Rotorcraft Technology (ART) and their highly successful FlightLab product with… More

Among the Armys many responsibilities, Counterinsurgency (COIN) operations are assuming growing importance. FM 3-24 Counterinsurgency, defines the role, importance, and general properties of an effective COIN campaign design process: exploratory, multi-dimensional, collaborative, and iterative… More

Within an Air Operations Center, planners working in the Master Air Attack Plan cell make crucial decisions to create the air plan for any given day. They are expected to complete the plan in part by pairing targeting or collection tasks with the available platforms and weapons. Any assistance these… More

We propose to target critical information requirements with an innovative extensible agent architecture that employs multiple levels of knowledge discovery and information fusion. The proposed system concept, Informant, will employ a combination of machine learning-based bootstrapping techniques and… More

This SBIR topic aims to develop a system for automatic detection and targeting of external uncontrolled deckhouse fires. The proposed Automatic Fire Detection and Targeting System (AFDTS) will use multiple thermal and visible-light sensors to detect and localize flames along the side of a deckhouse,… More

Naval ships are among the most complex and costly engineered structures in existence. Operating in harsh and hostile environments, some ships will inevitably suffer damage. Recoverability is a critical ship design criterion, directly linked to robustness of mission capability and life safety. Modern… More

Job performance measurement is of critical importance to any organization"s health. It is important not only to recognize and reward good performance, but also to groom future leaders. Developing effective assessment techniques that are valid, effective and fair is an ongoing challenge.… More

We propose to develop a planning model integrated development environment (PM/IDE) that will help people construct, review, understand, test, and debug high-quality planning domain models expressed in the Action Notation Modeling Language (ANML) more quickly and effectively. PM/IDE will enable… More

We propose to develop a system that enables integrated and adaptive analysis and visualization of satellite network management data. Integrated analysis and visualization will enable users to see important patterns that span diverse types of satellite network management data, such as the health… More

Advanced, robust, autonomous planning systems have not focused on the scheduling decisions made by the planner. And high quality, optimizing schedulers have rarely been integrated with such planning systems and only at a very coarse level. Little research regarding interleaving scheduling and… More

Maximizing network efficiency for NASA's Space Networking resources is a large, complex, distributed problem, requiring substantial collaboration. We propose the development of an innovative software tool that will support mission and scheduling personnel in developing, de-conflicting,… More

We propose to develop a Tool for Real-time Intelligent Evaluation of Physiological and Operational Data (TRIEPOD), consisting of a self-contained sensor suite and assessment model for analyzing human and system performance. By combining intelligent behavioral and cognitive performance assessment… More

We propose to investigate the development of a training battery that will improve cognitive readiness for rapidly formed teams. We will define metrics to assess cognitive readiness, devise games that will engage trainees, and research one or more suitable military scenarios.

Although team workload is a significant factor in assessments of team performance, there has been little work to isolate this from other factors. We propose a research effort to ultimately define the requirements and corresponding architecture for a measurement tool that will facilitate the… More

Determining pilot intent is very complex. Human pilots rely on a myriad of information that includes radio communications, aircraft location and trajectory, airport information (standard landing/departure patterns, noise abatement procedures, etc.), weather, the capabilities of different aircraft… More

The military"s ability to exploit streams of heterogeneous information sources has not kept pace with the enterprise"s ability to generate them. In order to make substantial progress in enhancing the warfighters"situational awareness, new approaches are required to automatically link… More

As intelligence and sensor data acquisition technologies improve and expand, the difficulties of maintaining data integrity across vast amounts of data continue to plague researchers. Generally considered to be a problem of computational scalability, we also recognize that a much greater challenge… More

We propose to address the growing challenge of information overload in network-centric information systems through the development of an agent-based framework that improves the warfighter"s awareness of critical information. In particular, we propose to enable adaptive information… More

ABSTRACT: Within an Air Operations Center, planners working in the Master Air Attack Plan cell make crucial decisions to create the air plan for any given day. They are expected to complete the plan in part by pairing targeting or collection tasks with the available platforms and weapons. Any… More

To integrate automated diagnosis and automated planning functions, one must translate diagnosed system faults to corresponding changes in resource availabilities. Implementing reliable translation is challenging, time-consuming, and error prone.We propose to develop Intelliface, an intelligent tool… More

We propose to develop a Visual Intelligent Robot Performance Monitor (VIRPM) that will help crew members maintain situation awareness of robot performance more effectively. VIRPM will provide intelligent assistance to crew members by detecting topical data that suggest possible problems (causes and… More

We propose to investigate a virtual teamwork training suite incorporating serious games that target specific team-oriented skills and behaviors. We will define metrics for evaluation of team performance, devise games that engage crew and controller participants in relevant team tasks, and perform a… More

One-on-one tutoring has long been the gold-standard for individualized, adaptive instruction. Intelligent Tutoring Systems are Artificial Intelligence systems that have as their goal realizing the benefits of one-on-one teaching using technology. In order to deliver on this promise, these tutors… More

ABSTRACT: The USAF requires accurate assessment regarding the effects of space weather upon Low Earth Orbit (LEO), Medium Earth Orbit (MEO), and Geosynchronous Earth Orbit (GEO) satellites. This information is important in order to distinguish between natural environmental effects upon spacecraft… More

ABSTRACT: The most critical limitations of existing approaches to threat detection and prediction is their inability to support the required knowledge modeling and continuing refinement under realistic constraints (e.g., few historic threat exemplars, limitations on the availability of subject… More

ABSTRACT: Many of today"s munitions effectiveness measures adopt unrealistic damage assessments, such as coarse granularity, state-less damage, and independent effects. We propose to build an effectiveness model inspired by effects-based operations. We will decompose targets into their… More

Accurate, rapid interpretation of sensor data is critical to modern anti-submarine warfare (ASW). The Navy's push towards integrated multi-platform, multi-sensor ASW operations has the potential to significantly increase situational awareness; however, due to expected shortages in sensor… More

We propose the development of an innovative software tool that will automatically enhance network routing and management by leveraging known network priorities per Commander"s Intent and then plan how best to assure the delivery of mission-critical traffic; then via an intelligent awareness of… More

Operational level plans are organized into lines of operations (LOOs), with explicit decision points and alternate action sequences. Every operation requires assessment and a means to adapt rapidly to the changing environment. Staffs expend tremendous effort assembling information on the environment… More

ABSTRACT: The ultimate goal of this effort is to improve the performance of the Space Surveillance Network (SSN) including improved space catalog accuracy through more and more complementary tracking, better responsiveness to real-time changes, better tracking of small debris in LEO through… More

ABSTRACT: The ultimate goal of this proposed effort is to improve the ability of onboard software to predict trajectories of other aircraft in the terminal area of operations. This ability can only be realized with an automatic capability for recognizing the intent of the pilots of these other… More