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    支持AI问题求解的成员系统

    Member Systems Supporting AI Problem Solving

    • 摘要: 本文从接近于人类思维的产生式系统着手,分析了认知心理学信息加工理论的局限性,提出了一种人类思维过程的有限关联团块观点及基于该观点的、支持多种(一般、并行,特别是分布协同式)AI问题求解的成员系统模型MS,并从设计思想、基本结构、语法结构、通信原语、工作原理等几个方面介绍了一种基于不确定成员系统模型的并发程序设计语言MS-1.

       

      Abstract: Starting with production systems which is highly similar to the nature of human thinking, this paper analyzes the limitation of information processing theory in cognitive psychology, and puts forward a concept of finitely related clusters in human thinking process and a member system model (MS), which is based on this concept and supports general, parallel, especially distributed, and cooperative AI problem solving. A concurrent member system programming language MS-1 based on the nondeterministic member system model is introduced from its design consideration, basic architecture, grammatical rules, communication primitive and working mechanism.

       

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