Evolutionary Synthesis of Rules for Programming the Turing Machine

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63509008" target="_blank" >RIV/70883521:28140/10:63509008 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Evolutionary Synthesis of Rules for Programming the Turing Machine

Original language description

This article deals with using artificial intelligence which is represented by Self-Organizing Migrating Algorithm for programming the Turing machine. During research which is described below we tried to simplify programming process of the Turing machine.The programming process consists of designing reponses of the Turing machine?s transfer function in the form of the rules which describe operating of the machine.This process was successfully covered up by evolution which produce the rules for solving concrete tasks by the Turing machine. Thus we prove possibility to employ artificial intelligence at simplifying complicated programming the Turing machine.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Trilobit

ISSN

1804-1795

e-ISSN

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Volume of the periodical

2010

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

12

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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