Building upon the Edelman's Neural Darwinism and Damasio's brain model, we propose a framework for creating evolutionary and neurobiologically inspired computational platforms for autonomous vehicle control as well as for applications in the arena of ambient intelligence. Additionally, we propose… More

An increasingly common military medical need is the need for in-the-field acquisition of symptomatology, differential diagnosis of diseases potentially previously unseen by the medical professional, and identification of symptoms to the population at large. This need suggests a combination of… More

Over the past 12 years, the incidence of traumatic brain injuries (TBI) has increased from an annual rate of 500,000 to 1,000,000 new cases a year. This project will focus primarily on people that have sustained a traumatic brain injury and recovered to the Glasgow Coma Scale (GCS) level of 11 or… More

Field Programmable Gate Arrays (FPGAs) are vastly becoming a common platform providing specific high-speed processing for DoD applications. The problem however, is that the design cycle for a typical FPGA development is very time-consuming and convoluted in nature. This proposal examines the… More

Processing systems, while complex, are often static; algorithms that are utilized are selected based on their evaluation in a static environment. However, the performance of an algorithm or algorithmic system is greatly affected by the environment, concurrent processes, and even implementation… More

Field Programmable Gate Arrays (FPGAs) are growing in popularity due to their high performance capabilities and reprogrammable nature well-suited for development of specific high-speed processing applications. However, the design process for FPGA implementation is time-consuming with multiple… More

Screening is a repetitive and often monotonous task, involving long periods of vigilance despite low occurrences of threat. Because of the nature of this task and the high consequence if a threat is missed, a screener`s vigilance and avoidance of operation during fatigue are critical to their job… More

Self-aware systems have three essential properties: they build empirical models of their own performance; they use those models to inform optimal plans of action; and they continually refine their models and plans based on the outcomes of their actions. Although engineers routinely build some degree… More

In this proposal, the team of Archinoetics and UCI define a program of research and development to develop a data collection and analysis system for human performance measurement that is (1) inexpensive, (2) modular, (3) easily extensible, and (4) that facilitates easy data analysis. Furthermore, in… More

Measuring economic progress in conflict and post-conflict regions is notoriously difficult. Yet, these measurements are critical for Stability, Security, Transition and Reconstruction (SSTR), which in turn is crucial for counter-insurgency. A myriad of problems plague the measurement of economic… More