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TacAir-Soar is an intelligent, rule-based system that generates believable " human-like " behavior for large scale, distributed military simulations. The innovation of the application is primarily a matter of scale and integration. The system is capable of executing most of the airborne missions that the United States military flies in fixed-wing aircraft.(More)
Interactive simulation environments constitute one of today's promising emerging technologies, with applications in areas such as education, manufacturing, entertainment, and training. These environments are also rich domains for building and investigating intelligent automated agents, with requirements for the integration of a variety of agent capabilities(More)
Autonomous systems must operate in dynamic, unpredictable environments in real time. The task of ying a plane is an example of an environment i n w h i c h the agent m ust respond quickly to unexpected events while pursuing goals at diierent l e v els of complexity and granularity. W e present a system, Air-Soar, that achieves intelligent c o n trol through(More)
This paper describes EUREKA, a problem-solving architecture that operates under strong constraints on its memory and processes. Most significantly, EUREKA does not assume free access to its entire long-term memory. That is, failures in problem solving may arise not only from missing knowledge, but from the (possibly temporary) inability to retrieve(More)
maintain awareness of its environment for a long period of time. Additionally, knowledge-intensive agents must be engineered such that their knowledge can be easily updated as environment and task requirements change during deployment. This paper discusses representations and processes for agents and behavior models that encode large knowledge bases, are(More)
When children learn to add, they count on their fingers, beginning with the simple SuM strategy and gradually developing the more sophisticated and efficient MIN strategy. The shift from SUM to MIN provides an ideal domain for the study of naturally occurring discovery processes in cognitive skill acquisition. The SUM-to-MIN transition poses a number of(More)
Our research focuses on complex agents that are capable of interacting with their environments in ways that are increasingly similar to individual humans. In this article we describe a cognitive architecture for an interactive decision-making agent with emotions. The primary goal of this work is to make the decision-making process of complex agents more(More)
This paper describes the implementation and evaluation of a framework for modeling emotions in complex, decision-making agents. Sponsored by U.S. Army Research Institute (ARI), the objective of this research is to make the decision-making process of complex agents less predictable and more realistic, by incorporating emotional factors that affect humans. In(More)