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Title: Semiotic labelled deductive systems

Abstract

We review the class of Semiotic Models put forward by Pospelov, as well as the Labelled Deductive Systems developed by Gabbay, and construct an embedding of Semiotic Models into Labelled Deductive Systems.

Authors:
 [1]
  1. Imperial College of Science, Technology and Medicine, London (United Kingdom)
Publication Date:
OSTI Identifier:
466455
Report Number(s):
CONF-9610138-
TRN: 97:001309-0035
Resource Type:
Conference
Resource Relation:
Conference: International multi-disciplinary conference on intelligent systems: a semiotic perspective, Gaithersburg, MD (United States), 21-23 Oct 1996; Other Information: PBD: 1996; Related Information: Is Part Of Intelligent systems: A semiotic perspective. Volume I: Theoretical semiotics; Albus, J.; Meystel, A.; Quintero, R.; PB: 303 p.
Country of Publication:
United States
Language:
English
Subject:
99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; ARTIFICIAL INTELLIGENCE; DECISION MAKING; MATHEMATICAL LOGIC; PROGRAMMING LANGUAGES

Citation Formats

Nossum, R.T. Semiotic labelled deductive systems. United States: N. p., 1996. Web.
Nossum, R.T. Semiotic labelled deductive systems. United States.
Nossum, R.T. 1996. "Semiotic labelled deductive systems". United States. doi:.
@article{osti_466455,
title = {Semiotic labelled deductive systems},
author = {Nossum, R.T.},
abstractNote = {We review the class of Semiotic Models put forward by Pospelov, as well as the Labelled Deductive Systems developed by Gabbay, and construct an embedding of Semiotic Models into Labelled Deductive Systems.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 1996,
month =
}

Conference:
Other availability
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  • This report contains the papers from the Proceedings of the 1996 International Multidisciplinary Conference - Theoretical Semiotics. General topics covered are: semiotic in biology: biologically inspired complex systems; intelligence in constructed complex systems; intelligence of learning and evolution; fuzzy logic and the mechanisms of generalization; information representation for decision making; sematic foundations; syntactics of intelligent systems: the kind of logic available; intelligence of recognition: the semiotic tools; and multiresolutional methods.
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