Randolph M. Jones

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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. It(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)
Many results and techniques applicable to human-computer interaction (HCI) have been discovered by using cognitive modelling. However, few of these lessons have been applied to improve the explanation and illustration of cognitive models themselves. We have started to redress this imbalance by developing for a well-known cognitive architecture (Soar) a(More)
Offensive urban combat is one of the most difficult tasks soldiers are called upon to perform (USMC 1998). Urban combat is characterized by building-to-building and room-to-room fighting, and even a vastly outnumbered defensive force can inflict significant casualties on attacking forces. Effective, frequent training is an essential element in reducing(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)