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Autonomous Behavior of Computational Agents

  • Roman Vaculín
  • Roman Neruda

Abstract

In this paper we present an architecture for decision making of software agents that allows the agent to be-have autonomously. Our target area is computational agents — encapsulating various neural networks, genetic algorithms, and similar methods — that are expected to solve problems of different nature within an environment of a hybrid computational multi-agent system. The architecture is based on the vertically-layered and belief-desire-intention architectures. Several experiments with computational agents were conducted to demonstrate the benefits of the architecture.

Keywords

Genetic Algorithm Software Agent Partner Choice Concept Node Autonomous Behavior 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag/Wien 2005

Authors and Affiliations

  • Roman Vaculín
    • 1
  • Roman Neruda
    • 2
  1. 1.Faculty of Mathematics and PhysicsCharles UniversityPrague
  2. 2.Institute of Computer Science, ASCRPragueCzech Republic

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