OpenPsi: A novel computational affective model and its application in video games

  • Authors:

  • Zhenhua Cai;Ben Goertzel;Changle Zhou;Deheng Huang;Shujing Ke;Gino Yu;Min Jiang

  • Affiliations:

  • Cognitive Science Department, Xiamen University, Xiamen 361005, China and Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen 361005, China and M-lab, School of Design, The Hong Ko ...;Cognitive Science Department, Xiamen University, Xiamen 361005, China and Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen 361005, China and Novamente LLC, 1405 Bernerd Place, R ...;Cognitive Science Department, Xiamen University, Xiamen 361005, China and Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen 361005, China;Cognitive Science Department, Xiamen University, Xiamen 361005, China and Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen 361005, China and M-lab, School of Design, The Hong Ko ...;Cognitive Science Department, Xiamen University, Xiamen 361005, China and Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen 361005, China and M-lab, School of Design, The Hong Ko ...;M-lab, School of Design, The Hong Kong Polytechnic University, Hong Kong;Cognitive Science Department, Xiamen University, Xiamen 361005, China and Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen 361005, China

  • Venue:
  • Engineering Applications of Artificial Intelligence
  • Year:
  • 2013

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Abstract

This paper introduces OpenPsi, a computational model for emotion generation and function by formalizing part of Dorner's PSI theory, which is an extensive psychological model of human brains, including knowledge representation, perception and bounded rationality. We also borrowed some technical ideas from MicroPsi, one of the concrete implementations of PSI theory by Joscha Bach. The proposed emotional model is then applied to control a virtual robot living in a game world inspired by Minecraft. Simulation experiments have been performed and evaluated for three different scenarios. The emergent emotions fit quite well with these circumstances. The dynamics of this affective model are also analyzed using Lewis's dynamic theory of emotions. Evidences of phase transitions suggested by Lewis are observed in simulations, including trigger, self-amplification and self-stabilization phases. These experiment results show that the proposed model is a quite promising approach of modeling both emotion emergence and dynamics.