Abstract
In this paper, we discuss questions of creating an electronic intellectual analogue of a human being. We introduce a mathematical concept of stimulus generating emotions. We also introduce a definition of logical thinking of robots and a notion of efficiency coefficient to describe their efficiency of rote (mechanical) memorizing. The paper proves theorems describing properties of permanent conflicts between logical and emotional thinking of robots with a nonabsolute rote memory.
Highlights
It should be noted that the rote or mechanical memory in this paper is the ability of a robot or human to memorize some certain data in every detail but without regard to the meaning content of that information
We introduce a definition of logical thinking of robots and a notion of efficiency coefficient to describe their efficiency of rote memorizing
Modern computers have exactly this kind of memory: they can store in memory a complete collection of symbols without picking and separating the meaning content of a text out of that set of symbols; and, besides, they never “forget” anything
Summary
It should be noted that the rote or mechanical memory in this paper is the ability of a robot or human to memorize some certain data in every detail but without regard to the meaning content of that information. Modern computers possess an absolute mechanical memory. As opposed to modern computer systems, in the present paper we consider computers which can forget older information. We investigate only mathematical properties of computersrobots with a mechanical (rote) memory. First it should be noted that there is no human being possessing an absolute memory, i.e. he or she always forgets a part of acquired information as this is his\her nature. A portion is a quantity (amount) of new data memorized by a human being completely. Let us note one obvious property of the portion: a number of bits si in the portion i is limited i.e. there is such s for which the inequalities si s, s 0, i 0, are always valid
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