思维机设计与实现的关键技术

Zhu Ping
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引用次数: 0

摘要

本文讨论了基于冯·诺依曼体系结构和类比思想的思维机设计与实现的关键技术。基于三个假设:创造性思维过程是图灵可计算的,灵感是由知识表示和常识判断组成的,而知识表示和常识判断的类型数量是有限的,灵感的形式是有限的,本文建立了知识表示和常识判断的创造性思维理论,设计了三回路思维机的工作框架。并以仿人方式解决鸡兔同笼问题为例,说明了基于思维机的工作流程和数据结构。最后,讨论了思维机实现的关键技术问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Key Technologies of Designing and Implementing Thinking Machine
This paper discusses the key technologies of designing and implementing thinking machine based on von Neumann architecture and the idea of analogy. Based on the three hypotheses: the creative thinking process is Turing computable, inspiration is composed of knowledge representation and commonsense judgment, and the type quantity of the knowledge representation and the commonsense used for judgment that form of inspiration is limited, the paper has established the creative thinking theory of knowledge representation and commonsense judgment, designed the working framework of the 3-loops thinking machine, and resolved the chickens and rabbits in the same cage problem in a humanoid way for example, the work flow and the data structure based thinking machine is explained. Finally, the key technical problems of realization of thinking machine are discussed.
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