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A Prototype of Behavior Selection Mechanism Based on Emotion

机译:基于情感的行为选择机制的原型

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摘要

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.
机译:在仿生方法论而不是在更熟悉的设计方法论中,总结了情感的心理学研究,我们提出了情感的生物学机制,情感选择在生物进化中的作用以及包括类似于经典控制结构的情感的动画框架。咨询前景理论,建立计算机情感的情感特征函数(ECF);另外增加了两种情感理论,即较高的情感被优先选择,而中情感使大脑更有效地运行,情感行为机制应运而生。在Alife Swarm软件平台上设计并进行了所提出机制的仿真。在此模拟中,实现了一个虚拟的草原生态系统,其中有两种人造动物:草食动物和食肉动物。这些人造动物会执行四种类型的行为:在生活中徘徊,逃避,寻找食物,寻找性伴侣。根据动物民族学的理论,逃避捕食者的存在是先于其他行为,寻找食物是次要的行为,评级是第三,而游荡是最后的行为。为了保持这种行为顺序,基于我们的行为特征函数理论,情感计算的特定功能是由人工自主动物构建的。仿真结果证实了行为选择机制。

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