SBIR.gov
Published on SBIR.gov (https://www.sbir.gov)

Home > Award Details > Detail

Intelligent Toolset for Accessing Situational Knowledge (ITASK)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911QX-11-C-0018
Agency Tracking Number: A102-072-0135
Amount: $70,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solicitation Year: 2010
Solicitation Topic Code: A10-072
Solicitation Number: 2010.2
Small Business Information
Perceptronics Solutions, Inc.
3527 Beverly Glen Blvd., Sherman Oaks, CA, -
DUNS: 124668711
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
Name: Amos Freedy
Title: President
Phone: (818) 788-4830
Email: afreedy@percsolutions.com
Business Contact
Name: Gershon Weltman
Title: Vice President
Phone: (818) 788-1025
Email: gweltman@percsolutions.com
Research Institution
Name: Stub
Abstract
This proposal is to develop a model-driven, agent-based Intelligent Toolset for Accessing Situational Knowledge (ITASK). This system will support Commanders and Battle Staffs in collecting and filtering data, from large information repositories in a net-centric environment, and in organizing and visualizing relevant portions to meet their critical situation awareness needs in a timely manner. We propose to use an integrated hybrid of intelligent search agents and decision support tools fitted to respond to knowledge management demands in the context of counterinsurgency planning and mission monitoring. Our approach focuses on enhancing performance in three areas: first, we will use decision models to identify critical information needs of the Battle Staff at any point in the decision making process; second, we will apply intelligent search agents to find and evaluate the information meeting those needs from the many large heterogeneous databases available; and finally, we will design a user interface with innovative display and retrieval technologies to allow rapid, efficient exploration of relevant information elements and to map them to related factors in the decision model. We will leverage our related developments in decision support systems for tactical users and prior focused research on multi-agent coordination and human interaction with intelligent systems.

* Information listed above is at the time of submission. *