• DocumentCode
    1661546
  • Title

    Towards a model of multi-agent connectionist hybrid system

  • Author

    Szirbik, Nicolae B.

  • Author_Institution
    Dept. of Comput. Sci., Tech. Univ. Timisoara, Romania
  • fYear
    1995
  • Firstpage
    273
  • Lastpage
    276
  • Abstract
    A connectionist system that is capable of reasoning about problems posed usually to expert systems is used for the purpose of dynamic cognition tasks. The architecture of such a system must contain “classical” AI representations and symbolic information processing entities. Coupling this part of the system with multiple connectionist structures implies a definition for the intercommunication channels, and a specification of the dynamic behavior of the entire system. Some experiments and results are illustrated in an attempt to shed light on the questions raised and the difficulties encountered. The study concludes by contrasting the ideas presented with the mainstream of computational cognitive science
  • Keywords
    cooperative systems; inference mechanisms; neural nets; software agents; artificial intelligence; computational cognitive science; dynamic cognition tasks; expert systems; intercommunication channels; multiagent connectionist hybrid system; multiple connectionist structures; reasoning; specification; symbolic information processing; Artificial intelligence; Bayesian methods; Cognition; Computer architecture; Computer science; Engines; Expert systems; Global Positioning System; Logic; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
  • Conference_Location
    Dunedin
  • Print_ISBN
    0-8186-7174-2
  • Type

    conf

  • DOI
    10.1109/ANNES.1995.499488
  • Filename
    499488