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Creative Reasoning and Content-Genetic Logic
Author(s) -
Andrew Schumann
Publication year - 2018
Publication title -
studia humana
Language(s) - English
Resource type - Journals
ISSN - 2299-0518
DOI - 10.2478/sh-2018-0022
Subject(s) - troubleshooting , contradiction , content (measure theory) , computer science , heuristic , paraconsistent logic , artificial intelligence , process (computing) , logical conjunction , theoretical computer science , management science , description logic , programming language , epistemology , mathematics , multimodal logic , engineering , mathematical analysis , philosophy , operating system
In decision making quite often we face permanently changeable and potentially infinite databases when we cannot apply conventional algorithms for choosing a solution. A decision process on infinite databases (e.g. on a database containing a contradiction) is called troubleshooting. A decision on these databases is called creative reasoning. One of the first heuristic semi-logical means for creative decision making were proposed in the theory of inventive problem solving (TIPS) by Genrich Altshuller. In this paper, I show that his approach corresponds to the so-called content-generic logic established by Soviet philosophers as an alternative to mathematical logic. The main assumption of content-genetic is that we cannot reduce our thinking to a mathematical combination of signs or to a language as such and our thought is ever cyclic and reflexive so that it contains ever a history.

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