Talk Between Two Agents by Semantcs Knowledgebase

S. Sugiyama
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Abstract

A living creature's brain consists of neurons. The neurons are activated by a stimulation from an inside world of brain or a stimulation through five senses by an outside world in the nature. In this activation mechanism, we know that the neurons are trying to form a group of knowledge structure (knowledgebase) in order to get a suitable answer (output) to the stimulation (input) as noted in the paper KEVIAS2005, referring Sugiyama (2005). This group of knowledgebase can treat many kinds of things like "Go", "Take", "See", "What", etc. in a sentence of semantics, in a human case for instance. And we also know that a living creature can behave or talk with others by using these kinds of knowledgebase. In addition to this, we can say the following thing; a communication with others is possible to make when we use a same kind of the knowledgebase that consists of inside at each creatures or human's brain. So in this paper, with the information about these kinds of facts, here studies about two agents talk with knowledgebase method by introducing a new idea of fractured words in sentence. And the mechanisms are cleared up with reasons.
基于语义知识库的智能体间对话
生物的大脑由神经元组成。神经元被来自大脑内部世界的刺激或自然界外部世界通过五种感官的刺激激活。在这种激活机制中,我们知道神经元试图形成一组知识结构(知识库),以便对刺激(输入)获得合适的答案(输出),这在论文KEVIAS2005中提到,参考Sugiyama(2005)。这组知识库可以处理许多类型的事情,如“Go”,“Take”,“See”,“What”等,在一个语义句子中,例如在人类的情况下。我们还知道,生物可以通过使用这些知识库来与他人行为或交谈。除此之外,我们还可以说:当我们使用由每个生物或人类大脑内部组成的相同类型的知识库时,与他人进行交流是可能的。因此,本文在这些事实的基础上,引入断句的概念,用知识库的方法研究了两个智能体之间的对话。这些机制都是有原因的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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