Accurate, relevant, and timely combat identification (CID) enables warfighters to locate and identify critical airborne targets with high precision. The current CID processes included a wide combination of platforms, sensors, networks, and decision makers. There are diversified doctrines, rules of engagements, knowledge databases, and expert systems used in the current process to make the decis...

Computer generated battleeeld agents need to be able to explain the rationales for their actions. Such explanations make it easier to validate agent behavior, and can enhance the eeectiveness of the agents as training devices. This paper describes an explanation capability called Debrief that enables agents implemented in Soar to describe and justify their decisions. Debrief determines the moti...

The numerical control of an experimental assembly cell with two robots--termed a cognitive control unit (CCU)--is able to simulate human information processing at a rule-based level of cognitive control. To enable the CCU to work on a large range of assembly tasks expected of a human operator, the cognitive architecture SOAR is used. The CCU can plan assembly processes autonomously and react to...

Rare disease represents one of the most significant issues facing the medical community and health care providers worldwide, yet the majority of these disorders never emerge from their obscurity, drawing little attention from the medical community or the pharmaceutical industry. The challenge therefore is how best to mobilize rare disease stakeholders to enhance basic, translational and clinica...

Reinforcement learning (RL) agents can benefit from adaptive exploration/exploitation behavior, especially in dynamic environments. We focus on regulating this exploration/exploitation behavior by controlling the action-selection mechanism of RL. Inspired by psychological studies which show that affect influences human decision making, we use artificial affect to influence an agent’s action-sel...

In this paper, I describe how a cognitive model was used as a simulated student to help design lessons for training circuit board assemblers. The model was built in the Soar cognitive architecture, and was initially endowed with only an ability to learn instructions and prerequisite knowledge for the task. Five lessons, and a total of 81 instructions for teaching expert assembly were developed ...

Architectures that implement the Common Model of Cognition - Soar, ACT-R, and Sigma have a prominent place in research on cognitive modeling as well designing complex intelligent agents. In this paper, we explore how computational models analogical processing can be brought into these architectures to enable concept acquisition from examples obtained interactively. We propose new memory for Soa...

Finding information within websites is becoming an increasing challenge as the size and the complexity of websites soar. One possible solution is to adapt the view of the site to the task in hand. Although such a procedure is technically feasible, the effectiveness of such designs is yet to be tested. Assuming user scenarios that involve searches by browsing rather than structured queries, we b...