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International Journal of Machine Learning and Cybernetics
Erschienen in: International Journal of Machine Learning and Cybernetics 6/2013

01.12.2013 | Original Article

Discovering the discovery of Linguistic Geometry

verfasst von: Boris Stilman

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 6/2013

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Abstract

Linguistic Geometry (LG) is a type of game theory for extensive discrete games scalable to the level of real life defense systems. This scalability is based on changing the paradigm for game solving—from search to construction. LG was developed by generalizing experiences of the advanced chess players. LG is a formal model of human reasoning about armed conflict, a mental reality “hard-wired” in the human brain. It appears that this algorithm, an evolutionary product of millions of years of human warfare, served in its turn as the principle mover for evolution of human intelligence. Its special role in human history and its relationship to the Primary Language of the human brain (as introduced by J. Von Neumann) suggest that the experiences of development of LG must be instructive for solving another major puzzle, discovering the Algorithm of Discovery. This algorithm should be an ancient component of the Primary Language as well. This paper refining our experiences of discovering LG reports the first results of this research.
Nächster Artikel Dependency space, closure system and rough set theory

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Metadaten
Titel
Discovering the discovery of Linguistic Geometry
verfasst von
Boris Stilman
Publikationsdatum
01.12.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 6/2013
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-012-0114-8

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