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Research on the Model of Affective Computing Based on Information Granule

Author: ChenYuHai
Tutor: HuJun
School: Nanchang University
Course: Applied Computer Technology
Keywords: Affective Computing Information Granulation Model
CLC: TP18
Type: Master's thesis
Year: 2008
Downloads: 125
Quote: 1
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Abstract


Affective computing has become the new direction of development of the field of artificial intelligence , is of great significance for achieving the harmony of human-computer interaction and intelligent information processing . Affective computing is currently facing a lot of problems and challenges . Granular computing is a new information and knowledge in the field of artificial intelligence approach in recent years, more and more researchers applied to different areas . In this paper, based on artificial intelligence , artificial psychological and emotional theory for the computer how to achieve emotional understanding , affective computing , emotions generated , starting from the need for artificial emotion modeling , granular computing theory to explore research and implementation based the information granule affective computing model . First, the establishment of a Multi-Agent - based model , in this model , we believe that people's emotions together form the basic emotional and characterization of human willpower , beliefs , desires , intentions and planning , and in accordance with the \interact , overlapping and interdependent rational inference engine and the the emotional inference engine introduced in the model . Then the use of fuzzy mathematics and mathematical methods to establish an emotional Knowledge Base . Based on the emotional knowledge base , we take advantage of the decision-making process based on the information granules data reduction method information granules to specifically describe the emotions , thus completing the simple emotional processing . The model has been initially implemented application results show that the model can effectively achieve the simple emotional processing .

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