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
Affective computing
Modeling motivations and emotions as a basis for intelligent behavior
AGENTS '97 Proceedings of the first international conference on Autonomous agents
A social-psychological model for synthetic actors
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Integrated learning for interactive synthetic characters
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
FLAME—Fuzzy Logic Adaptive Model of Emotions
Autonomous Agents and Multi-Agent Systems
System for authoring highly interactive, personality-rich interactive characters
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
Computer Animation and Virtual Worlds - Special Issue: The Very Best Papers from CASA 2004
Generic personality and emotion simulation for conversational agents: Research Articles
Computer Animation and Virtual Worlds
Emergent affective and personality model
Lecture Notes in Computer Science
Building a believable character for real-time virtual environments
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Presence: Teleoperators and Virtual Environments
BAAP: a behavioral animation authoring platform for emotion driven 3D virtual characters
ICEC'10 Proceedings of the 9th international conference on Entertainment computing
A cognitive agent model displaying and regulating different social response patterns
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
An agent model for cognitive and affective empathic understanding of other agents
Transactions on Compuational Collective Intelligence VI
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Emotion is an important aspect of human intelligence and has been shown to play a significant role in the human decision-making process. This paper proposes a comprehensive computational model of emotions that can be incorporated into the physiological and social components of the emotions. Since interaction between characters can have a major impact on emotional dynamics, the model presents a social learning component for learning associations among characters, which in turn affects the character’s decision-making and social interactions. The model also designs a set of personality progression functions to enhance individual differences. In addition, we demonstrate this empirically through a computer simulation of a dynamic environment inhabited by a few characters to test our emotional model. The experiments show the effectiveness of our emotional model to build believable characters during interaction with the virtual environment.