Realizability of Inductive Logic

M. Goodall
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Abstract

The basic model is a two-way communication system in which observer O transmits axioms A, interprets received message S* by rules R of a Post normal logic. O's strategy is to generate (applying R to A) derivations S that minimze d(S, S*), subject, among other things, to R being Turing universal. This implies1 that (A, R: S*) are analogs of complementary observables and interaction potential in quantum mechanics. Here they represent words of binary information symbols (±1): R is a dictionary of pairs (gi : ki), which still can be universal with the restriction, length m(gi) = m0. If m- is the maximum of m(ki), then all k words in R are made up to this length by additions of a neutral symbol (O), so that R is an m0-to-m- function fR on the three values (O, ±1), realizable n fold redundantly by a nm0-to-nm probabilistic net with connexion matrices Mαij and thresholds θj, where θ(m) is random with Poisson distribution. If d(S,S*) is a scalar product, suitable learning algorithm reinforces all connections contributing positively, etc., where input is a current segment of nm0 bits of S*. The quantum condition is realized, essentially, by making Mij periodic in m(S) with period m0.
归纳逻辑的可实现性
基本模型是一个双向通信系统,其中观测者O传输公理a,根据Post normal逻辑规则R解释接收到的消息S*。O的策略是生成(将R应用于A)最小化d(S, S*)的导数S,其中包括R是图灵通用的。这意味着(A, R: S*)是量子力学中互补观测值和相互作用势的类似物。在这里,它们表示二进制信息符号(±1)的单词:R是一对(gi: ki)的字典,在长度m(gi) = m0的限制下,它仍然可以是通用的。如果m-是m(ki)的最大值,则R中的所有k个单词通过添加一个中性符号(O)组成该长度,因此R是三个值(O,±1)上的0-to-m-函数fR,可通过具有连接矩阵m αij和阈值θj的nm0-to-nm概率网络n倍冗余实现,其中θ(m)是泊松分布随机的。如果d(S,S*)是标量积,则合适的学习算法加强所有正向贡献的连接等,其中输入是S*的nm0位的当前段。量子条件基本上是通过使Mij在m(S)中具有周期为m0的周期来实现的。
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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