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Behavioral decision making of an artificial fish based on artificial emotion and the Cerebellar Model Articulation Controller

Citation

Yuan, H and Huang, S and Chen, Y, Behavioral decision making of an artificial fish based on artificial emotion and the Cerebellar Model Articulation Controller, Proceedings of the 9th International Conference on Natural Computation (ICNC 2013), 23-25 July 2013, Shenyang, China, pp. 1-5. ISBN 978-1-4673-4713-6 (2013) [Refereed Conference Paper]

Copyright Statement

Copyright 2013 IEEE

Official URL: http://icnc-fskd.lntu.edu.cn/

Abstract

Artificial emotion is an emerging field of study. Emotional intelligence in the research of artificial intelligence is a critical leap towards emulating human intelligence. In order to simulate behavioral change of an artificial fish more vividly in a virtual marine environment and to resolve a deficiency of behavioral decision making on artificial fish, we propose a combination of emotional factors with CMAC (Cerebellar Model Articulation Controller) framework to realize artificial fish’s behavioral decision making. The simulation experiment was implemented by using Visual Studio 2010 and OpenGL together. Experimental results show that the method can help artificial fish develop reasonable behavioral strategy. The research has theoretical value in that it proposes a method incorporating emotional intelligence for the decision making of artificial fish. It also delivers practical value in improving survival ability of an artificial fish in the virtual ocean environment and its decision making capability for self-organization.

Item Details

Item Type:Refereed Conference Paper
Keywords:emotion, artificial fish, decision making, CMAC
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Artificial Life
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Information and Computing Sciences
Author:Chen, Y (Ms Ying Chen)
ID Code:88352
Year Published:2013
Deposited By:Computing and Information Systems
Deposited On:2014-01-29
Last Modified:2014-12-23
Downloads:0

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