Title :
A generic tool for distributed AI with matching as message passing
Author :
Eberbach, Eugene
Author_Institution :
Jodrey Sch. of Comput. Sci., Acadia Univ., Wolfville, NS, Canada
Abstract :
The paper concentrates on the problem of integrating genetic programming, neural networks, autonomous agents with some symbolic AI techniques. For this purpose, it introduces and employs the S-calculus, which is a general model of computation with a quantitative aspect (cost) allowing naturally to express optimization and modification in dynamic parallel AI systems. The papers presents basic operators of the calculus, and a basic inference engine, so called modifying algorithm, used for problem solving. Next the approach is illustrated through a series of examples from various domains, including symbolic and subsymbolic systems
Keywords :
cooperative systems; genetic algorithms; inference mechanisms; message passing; neural nets; problem solving; software agents; symbol manipulation; S-calculus; autonomous agents; computation model; cost; distributed AI; dynamic parallel AI systems; genetic programming; inference engine; matching; message passing; modifying algorithm; neural networks; optimization; problem solving; subsymbolic systems; symbolic AI; symbolic systems; Artificial intelligence; Autonomous agents; Calculus; Computational modeling; Concurrent computing; Cost function; Engines; Genetic programming; Message passing; Neural networks;
Conference_Titel :
Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference on
Conference_Location :
Newport Beach, CA
Print_ISBN :
0-8186-8203-5
DOI :
10.1109/TAI.1997.632230
