The Arithmetic of Machine Decision : How to Find the Symmetries of Complete Chaos

O. Bartheye, L. Chaudron
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Abstract

This present work is deliberately placed in the context capable of defining the requirements expressed by machine decision-making calculations. The informational nature of a decision requires abandoning any invariant preserving the structure but on the contrary switching into total chaos, a necessary and sufficient condition for exploiting the symmetries allowing the calculation to converge. Decision arithmetic is the best way to precisely define the nature of these symmetries.
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机器决策的算术:如何找到完全混沌的对称性
本课题特意将其置于能够定义机器决策计算所表达的要求的背景下。决策的信息性质要求放弃任何保持结构不变的变量,相反,它需要切换到完全混乱的状态,这是利用对称性使计算收敛的必要和充分条件。决策运算是精确定义这些对称性本质的最佳方法。
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