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COGNITIVE AND BEHAVIORAL INTELLIGENT ARTIFICIAL LIFE

机译:认知和行为智能人工生活

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This paper presents an idea how to construct cognitive and behavioral intelligent artificial life. Anrnintelligent information processing system like human brain was developed for a mechanical systemrnwhich is able to both recognize and track a moving object in real time. This information system isrncalled the artificial brain constructed by a 32-bit microcomputer NEC PC-9801, the RICOHrnneurocomputer RN-2000 and their interface operating these two different type computers. However, thernfunction of the artificial brain is still primitive because the decisions on the structure, number of layers,rnnumber of neurons in layers in the artificial brain are still made by engineers from experiments in thernenvironment. In order to construct the cognitive and behavioral intelligent artificial life we have tornimbed the function of self-organization into the neural networks in its artificial brain. Thus it becomesrnpossible for the artificial life to learn autonomously from the interaction between the artificial life andrnthe environment. The emergence of behaviors from the artificial life is realized from the neural networkrnself-organized by learning the results of interactions between them. In this paper, the mechanism ofrnself-organization in the neural networks is analyzed from a point of view of realizing the emergence ofrnbehaviors in the cognitive and behavioral intelligent artificial life. Based on the analyses we try tornconstruct the artificial brain with the function of self-organization in its neural network. Also, we tryrnto design the intelligent artificial life that supports and substitutes human's work.
机译:本文提出了一种如何构建认知和行为智能人工生活的想法。像人脑这样的智能信息处理系统是为机械系统开发的,该系统能够实时识别和跟踪运动物体。该信息系统被称为由32位微型计算机NEC PC-9801,RICOH神经网络RN-2000及其操作这两种不同类型计算机的接口构成的人工大脑。但是,人工脑的功能仍然是原始的,因为人工脑的结构,层数,层中神经元的数目仍然是由工程师根据环境实验来决定的。为了构建认知和行为智能的人工生活,我们已经将自组织的功能植入了人工大脑的神经网络中。因此,人工生活从人工生活与环境之间的相互作用中自主学习成为可能。人工生活中行为的出现是通过学习它们之间相互作用的结果而自组织的神经网络实现的。本文从实现认知和行为智能人工生活中行为出现的角度分析了神经网络中自组织的机制。在分析的基础上,我们尝试在神经网络中利用自组织功能来破坏人工大脑。另外,我们尝试设计支持和替代人类工作的智能人工生活。

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