Unified theories of cognition
Extending the Soar Cognitive Architecture
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
A unified cognitive architecture for physical agents
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Affective computing with primary and secondary emotions in a virtual human
Autonomous Agents and Multi-Agent Systems
Cognitive architectures: Research issues and challenges
Cognitive Systems Research
A computational unification of cognitive behavior and emotion
Cognitive Systems Research
EMA: A process model of appraisal dynamics
Cognitive Systems Research
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Emotions play an important role in human intelligence and human behavior. It has become important to model emotions, especially in the context of cognitive architecture. Current models of emotion are greatly underdetermined by experimental data from psychology, cognitive science, and neuroscience literature. I raise the hypothesis that deeper integration between emotion and cognition will produce models with much greater explanatory power. The thesis is that the use of a semantic associative network as a memory model will serve to both deepen and broaden integration between emotion and cognition. To test this, an affective cognitive architecture will be built with a semantic associative network at its heart, and will be compared to existing models as well as tested against existing experimental data.