Title :
Towards a model of multi-agent connectionist hybrid system
Author :
Szirbik, Nicolae B.
Author_Institution :
Dept. of Comput. Sci., Tech. Univ. Timisoara, Romania
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;
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
DOI :
10.1109/ANNES.1995.499488
