DocumentCode
328180
Title
Semiotics and levels of representation in complex information processing systems
Author
Meunier, Jean Guy
Author_Institution
Quebec Univ., Montreal, Que., Canada
fYear
1998
fDate
14-17 Sep 1998
Firstpage
863
Lastpage
868
Abstract
It has been claimed that representational models of cognition are not adequate for explaining the behavior of complex informational processing systems. The reason given is that these systems are not necessarily symbolic and do not obey the rules of a grammar. Can there exist systems that, although representational are not of the symbolic kind? Semiotics has proposed interesting concepts that can be pertinent for modeling such models
Keywords
cognitive systems; formal logic; information theory; cognition; complex information processing systems; representational models; semiotics; Artificial intelligence; Cognition; Computational and artificial intelligence; Computational intelligence; Cybernetics; Genetic algorithms; Information processing; Intelligent agent; Robots; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control (ISIC), 1998. Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS), Proceedings
Conference_Location
Gaithersburg, MD
ISSN
2158-9860
Print_ISBN
0-7803-4423-5
Type
conf
DOI
10.1109/ISIC.1998.713832
Filename
713832
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