Semiotics and levels of representation in complex information processing systems

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.

[1]  P. Johnson-Laird.  The computer and the mind: an introduction to cognitive science , 1988 .

[2]  Alan M. Turing,et al.  Computability and λ-definability , 1937, Journal of Symbolic Logic.

[3]  Jean,et al.  The Computer and the Brain , 1989, Annals of the History of Computing.

[4]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[5]  Max H. Garzon,et al.  Global Dynamics in Neural Networks , 1989, Complex Syst..

[6]  R. Cummins.  Meaning and mental representation , 1990 .

[7]  James S. Albus,et al.  A Reference Model Architecture for Design and Implementation of Intelligent Control in Large and Com , 1996 .

[8]  P. Smolensky.  On the proper treatment of connectionism , 1988, Behavioral and Brain Sciences.

[9]  J. Fodor,et al.  Connectionism and cognitive architecture: A critical analysis , 1988, Cognition.

[10]  S. Franklin.  Artificial Minds , 1995 .

[11]  J. Fodor,et al.  The Language of Thought , 1980 .

[12]  René J. Jorna.  MEANING AND MENTAL REPRESENTATIONS - ECO,U, SANTAMBROGIO,M, VIOLI,P , 1991 .

[13]  John von Neumann,et al.  The Computer and the Brain , 1960 .

[14]  Max H. Garzon,et al.  Global Dynamics in Neural Networks II , 1990, Complex Syst..

[15]  Terry Winograd,et al.  Understanding computers and cognition - a new foundation for design , 1987 .

[16]  Michael R. Genesereth,et al.  Software agents , 1994, CACM.

[17]  Terry Winograd,et al.  Understanding computers and cognition , 1986 .