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An Agent-Based Soft Computing Society

  • Chengqi Zhang
  • Zili Zhang
  • Ong Swee San
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2005)

Abstract

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 softcomputing society. Such a society can facilitate the design of truly robust, flexible and adaptive hybrid intelligent systems.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Chengqi Zhang
    • 1
  • Zili Zhang
    • 1
  • Ong Swee San
    • 1
  1. 1.School of Computing and MathematicsDeakin UniversityGeelong VictoriaAustralia

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