A Model for Generating Emotional Behavior

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Harati Zadeh, Saman | 2008

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Type of Document: Ph.D. Dissertation
Language: Farsi
Document No: 39569 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Bagheri Shouraki, Saeeid
Abstract:
After three decades of research, the concept of emotion as an aspect of initelligence in artificial systems, is still unclear. Most of emotion models in AI are aimed to simulate the emotional states of human in differenct levels of abstraction and functionality. Therefore, the concept of emotions in artificial systems is completely dependent on human being’s emotional states and can not be used as a general tool for improving the intellingence of artificial systems. In this thesis, we have tried to show that defining emotion in a more abstract level can expand the domain of its appications in AI. According to some existing theories about emotions, we modeled emotions as local semi-soloutions to problems and we have shown that in an artificial system, a resource masking policy can be used to define such emotions. We have used this model in AI domains and our experiments show that it can be useful for building believable emotional systems as well as intelligent systems with higher degrees of
adaptability in certain situations
Keywords:
Artificial Intelligence ; Learning ; Decision Making ; Emotion ; Cognitive Modeling

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