Title :
Semiotics and levels of representation in complex information processing systems
Author :
Meunier, Jean Guy
Author_Institution :
Quebec Univ., Montreal, Que., Canada
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;
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
Print_ISBN :
0-7803-4423-5
DOI :
10.1109/ISIC.1998.713832
