Communications of the ACM
KQML as an agent communication language
Software agents
Engineering intelligent hybrid multi-agent systems
Engineering intelligent hybrid multi-agent systems
On agent-based software engineering
Artificial Intelligence
Hybrid Intelligent Systems
Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets
Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets
Genetic Algorithms and Investment Strategies
Genetic Algorithms and Investment Strategies
Hybrid Intelligent Engineering Systems
Hybrid Intelligent Engineering Systems
Intelligent Hybrid Systems
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
A Serving Agent for Integrating Soft Computing and Software Agents
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
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Soft computing (SC) techniques such as fuzzy logic (FL), neural networks (NN), and genetic algorithms (GA) are complementary. Each SC technique has particular computational properties that make them suited for particular problems and not for others. Thus, in solving complex, real-world problems, we need to incorporate some SC techniques into the application systems to increase the systems' "intelligence". In this paper, we first propose an agent-based framework for integrating SC techniques into practical application systems. We then discuss the design and implementation of a platform independent soft computing support environment based on the framework. We call such an environment agent-based soft computing society. Such a society can facilitate the design of truly robust, flexible and adaptive hybrid intelligent systems.