Multi-Agent Environment for Hybrid AI Models
We describe a system which represents hybrid computational models as communities of cooperating autonomous software agents. It supports easy creation of combinations of modern artificial intelligence methods, namely neural networks, genetic algorithms and fuzzy logic controllers, and their distributed deployment over a cluster of workstations. The adaptive agents paradigm allows for semiautomated model generation, or even evolution of hybrid schemes.
KeywordsFuzzy Logic Controller Software Agent Agent Scheme Method Invocation Task Parallelization
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