The society of mind
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
A learning theorem for networks at detailed stochastic equilibrium
Neural Computation
Integration of various emotion eliciting factors for life-like agents
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
Designing Sociable Robots
FLAME—Fuzzy Logic Adaptive Model of Emotions
Autonomous Agents and Multi-Agent Systems
Training products of experts by minimizing contrastive divergence
Neural Computation
Bethe free energy and contrastive divergence approximations for undirected graphical models
Bethe free energy and contrastive divergence approximations for undirected graphical models
ALMA: a layered model of affect
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
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Emotions are an indispensable aspect in harmonious human computer interaction and artificial intelligence. In this paper, we present an algorithm to generate emotions and show them with 3D facial expression animation. The Pleasure-Arousal-Dominance (PAD) emotion space is used to define the affective elements of exterior stimuli and interior emotional states. A stochastic graphical model is designed to represent the relationships between the emotion, the mood and the personality. Finally, we build a mapping from the emotion space to the facial expression space with a competitive learning network. The facial expression is vividly shown by a 3D virtual human head. The experimental results demonstrate that our emotion generation model works effectively and meets the basic principle of human emotion generation.