Appraisal for a character-based story-world
Lecture Notes in Computer Science
Engines of the brain: the computational instruction set of human cognition
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
Em-one: an architecture for reflective commonsense thinking
Em-one: an architecture for reflective commonsense thinking
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
Towards a validated model of "emotional intelligence"
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Artificial intelligence today
A domain-independent framework for modeling emotion
Cognitive Systems Research
From ActAffAct to BehBehBeh: increasing affective detail in a story-world
ICVS'07 Proceedings of the 4th international conference on Virtual storytelling: using virtual reality technologies for storytelling
Docking agent-based simulation of collective emotion to equation-based models and interactive agents
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
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Executable computational process models of emotion are based on specific sets of modelling primitives. Motivated by the requirements of a specific scenario and concepts used by emotion theories, we propose as building blocks explicitly bounded resources and concurrent processes acquiring and using them. Our approach is intended for the incremental modelling of a growing collection of emotional episodes, with a clear delineation of technically necessary simplifications of the natural phenomena. An episode of disgust is used to discuss the approach, which is realised using real-time cooperative microthreading technology.