9 January 2008 A prototype of behavior selection mechanism based on emotion
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Proceedings Volume 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials; 679457 (2008) https://doi.org/10.1117/12.784198
Event: ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 2007, Gifu, Japan
In bionic methodology rather than in design methodology more familiar with, summarizing the psychological researches of emotion, we propose the biologic mechanism of emotion, emotion selection role in creature evolution and a anima framework including emotion similar to the classical control structure; and consulting Prospect Theory, build an Emotion Characteristic Functions(ECF) that computer emotion; two more emotion theories are added to them that higher emotion is preferred and middle emotion makes brain run more efficiently, emotional behavior mechanism comes into being. A simulation of proposed mechanism are designed and carried out on Alife Swarm software platform. In this simulation, a virtual grassland ecosystem is achieved where there are two kinds of artificial animals: herbivore and preyer. These artificial animals execute four types of behavior: wandering, escaping, finding food, finding sex partner in their lives. According the theories of animal ethnology, escaping from preyer is prior to other behaviors for its existence, finding food is secondly important behavior, rating is third one and wandering is last behavior. In keeping this behavior order, based on our behavior characteristic function theory, the specific functions of emotion computing are built of artificial autonomous animals. The result of simulation confirms the behavior selection mechanism.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guofeng Zhang, Guofeng Zhang, Zushu Li, Zushu Li, } "A prototype of behavior selection mechanism based on emotion", Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 679457 (9 January 2008); doi: 10.1117/12.784198; https://doi.org/10.1117/12.784198

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