SOAR: an architecture for general intelligence
Artificial Intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Affective computing
FLAME—Fuzzy Logic Adaptive Model of Emotions
Autonomous Agents and Multi-Agent Systems
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
A domain-independent framework for modeling emotion
Cognitive Systems Research
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The U.S. Army Materiel Systems Analysis Activity (AMSAA) and the Modeling and Simulation Group at the Natick Soldier Center (NSC) are developing the Infantry Warrior Simulation (IWARS) to support the acquisition of new technologies and tactics, techniques and procedures (TTPs). In order to effectively predict both the effectiveness and potential encumbrances of the new technologies and tactics as used by individual Soldiers, we need to have highly realistic models of the human Soldiers being simulated. Soldiers differ significantly from one another in terms of personality, skills, and training. Furthermore, even the same Soldier will respond differently to the same situation depending on factors such as his current level of fatigue, caffeination, and affective states such as moods or emotions. These various influences on behavior are typically called behavior moderators or performance moderators. This paper describes the MINDS (Modeling Individual Differences and Stressors) project, which builds on previous work in behavior moderator modeling to provide additional modeling power beyond what has previously been possible. We focus in particular on how to model the combined effects of multiple, simultaneous, interacting behavior moderators on cognition and behavior.