A Mind-World Correspondence Principle

B. Goertzel
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引用次数: 3

Abstract

A novel “Mind-World Correspondence Principle” is proposed - which, given an environment and goal-set, heavily constrains the structure of any intelligent system capable of efficiently achieving those goals in that environment. This is proposed as a potential step toward a “general theory of general intelligence.” An approximate gloss of the proposed principle is: “For a mind to work intelligently toward certain goals in a certain world, there should be a nice mapping from goal-directed sequences of world-states into sequences of mind-states, where “nice” means that a world-state-sequence W composed of two parts W1 and W2, gets mapped into a mind-state-sequence M composed of two corresponding parts M1 and M2.” The principle is formulated using the mathematical language of category theory, but refinement of the principle into a precise theorem is left for later works. Discussion is given regarding the use of the principle to explain common properties of realworld intelligences such as the presence of hierarchical structure. Declarative, procedural and episodic memory systems, as present in human minds and human-like cognitive architectures, are formalized using category theory in a manner consistent with the Mind-World Correspondence principle. The notion of development of minds is similarly formulated, using the category-theoretic notion of natural transformations. It is suggested that this approach to cognitive analysis and modeling may eventually be useful for deriving and refining practical designs for Artificial General Intelligence.
心灵世界对应原则
提出了一种新颖的“心智世界对应原则”——在给定环境和目标设定的情况下,它严重限制了任何能够在该环境中有效实现这些目标的智能系统的结构。这被认为是迈向“一般智力的一般理论”的一个潜在步骤。对这个被提议的原则的大致解释是:“为了让一个大脑在特定的世界中聪明地朝着特定的目标工作,应该有一个从目标导向的世界状态序列到精神状态序列的良好映射,这里的“良好”意味着一个由W1和W2组成的世界状态序列W,被映射到一个由M1和M2组成的精神状态序列M。”这个原理是用范畴论的数学语言表述出来的,但把这个原理细化成一个精确的定理是后来的工作。讨论了如何使用这一原理来解释现实世界智能的共同特性,如层次结构的存在。陈述性、程序性和情景性记忆系统存在于人类思维和类人认知架构中,它们使用范畴论以与心智世界对应原则一致的方式进行形式化。心智发展的概念也是类似的,使用自然转化的范畴论概念。有人建议,这种认知分析和建模的方法最终可能有助于推导和改进人工通用智能的实际设计。
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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