Affective computing
FLAME—Fuzzy Logic Adaptive Model of Emotions
Autonomous Agents and Multi-Agent Systems
On Affect and Self-adaptation: Potential Benefits of Valence-Controlled Action-Selection
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
A Bottom-Up Investigation of Emotional Modulation in Competitive Scenarios
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
An Emotional Model for Synthetic Characters with Personality
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Formal models of appraisal: Theory, specification, and computational model
Cognitive Systems Research
A domain-independent framework for modeling emotion
Cognitive Systems Research
Augmenting weak semantic cognitive maps with an "abstractness" dimension
Computational Intelligence and Neuroscience - Special issue on Neurocognitive Models of Sense Making
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Rapid growth in computational modeling of emotion and cognitive-affective architectures occurred over the past 15 years. Emotion models and architectures are built to elucidate the mechanisms of emotions and enhance believability and effectiveness of synthetic agents and robots. Despite the many emotion models developed to date, a lack of consistency and clarity regarding what exactly it means to 'model emotions' persists. There are no systematic guidelines for development of computational models of emotions. This paper deconstructs the often vague term 'emotion modeling' by suggesting the view of emotion models in terms of two fundamental categories of processes: emotion generation and emotion effects. Computational tasks necessary to implement these processes are also identified. The paper addresses how computational building blocks provide a basis for the development of more systematic guidelines for affective model development. The paper concludes with a description of an affective requirements analysis and design process for developing affective computational models in agent architectures.