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A Knowledge Request-Broker Architecture for Development of Artificial Social Intelligence

机译:用于人工智能发展的知识请求代理架构

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Artificial social intelligence is about making better intelligent systems out of a group of cooperating less intelligent problem solver agents. Better intelligence can be achieved by having expert agent with diverse expertise cooperating and working on the same problem. For that purpose a platform is required, which, in one hand, provides the freedom for developers to implement any form of solution in their agents, and in the other hand, facilitates mutual understanding between heterogeneous agents by standardizing the way they represent and inquire knowledge. While must published works are concerned with one or the other, the Knowledge Request Broker (KRB) system reported in this paper supports both requirements, and is made specifically for intelligent agents. This paper proposes an architecture for KRB, and provides a practical example for its usage in solving curve-fitting problems.
机译:人工社会智能就是要从一组协作程度较低的问题解决者代理中制造出更好的智能系统。通过让具有不同专业知识的专家代理合作并解决相同的问题,可以实现更好的情报处理。为此,需要一个平台,该平台一方面为开发人员提供了在其代理中实现任何形式的解决方案的自由,另一方面,通过标准化它们表示和查询知识的方式来促进异构代理之间的相互理解。 。尽管必须发表的作品与彼此有关,但本文中报告的知识请求代理(KRB)系统支持这两种要求,并且是专门为智能代理而设计的。本文提出了KRB的体系结构,并为解决曲线拟合问题提供了实例。

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