Discovering the Algorithm of Discovery by investigating No-Search Approach

B. Stilman, May Aldossary
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引用次数: 2

Abstract

In discovering the nature of the Primary Language of the human brain introduced by J. von Neumann, two components have been investigated. The first component is Linguistic Geometry (LG), the algorithm for optimizing warfighting strategies. LG's universal applicability to various domains and its power in generating human-like strategies suggested that LG should be vital for humanity and could be a component of the Primary Language. The second component is the algorithm for inventing new algorithms, the Algorithm of Discovery. This paper is an attempt to investigate various features of the Algorithm of Discovery, by revisiting the major result in LG, the development of the No-Search Approach. Employing the Algorithm of Discovery, we will replay, highlight and analyze the thought experiments, especially, those that utilized mosaic reasoning.
通过研究无搜索方法发现发现算法
在发现冯·诺伊曼提出的人类大脑主要语言的本质时,研究了两个组成部分。第一个组件是语言几何(LG),用于优化作战策略的算法。LG在各个领域的普遍适用性及其产生类似人类策略的能力表明,LG对人类来说应该是至关重要的,可以成为主要语言的一个组成部分。第二个部分是发明新算法的算法,即发现算法。本文试图通过回顾LG的主要成果,即无搜索方法的发展来研究发现算法的各种特征。使用发现算法,我们将重播、突出和分析思想实验,特别是那些使用马赛克推理的实验。
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