The affective reasoner: a process model of emotions in a multi-agent system
The affective reasoner: a process model of emotions in a multi-agent system
Appraisal for a character-based story-world
Lecture Notes in Computer Science
Surprisingness and expectation failure: what's the difference?
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Selecting Information based on Artificial Forms of Selective Attention
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
LORI'11 Proceedings of the Third international conference on Logic, rationality, and interaction
Building spatiotemporal emotional maps for social systems
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Information and Management
A logic of emotions: from appraisal to coping
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Influencing the user experience through unexpected events
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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Describes the outlines of a computational explication of the belief-desire theory of emotion, a variant of cognitive emotion theory. According to the proposed explication, a core subset of emotions including surprise are nonconceptual products of hardwired mechanisms whose primary function is to subserve the monitoring and updating of the central representational system of humans, the belief-desire system. The posited emotion-producing mechanisms are analogous to sensory transducers; however, instead of sensing the world, they sense the state of the belief-desire system and signal important changes in this system, in particular the fulfillment and frustration of desires and the confirmation and disconfirmation of beliefs. Because emotions represent this information about the state of the representational system in a nonconceptual format, emotions are nonconceptual metarepresentations. It is argued that this theory of emotions provides for a deepened understanding of the role of emotions in cognitive systems and solves several problems of psychological emotion theory.