An Action Planning Module Based on Vague Knowledge Extracted from Past Experiences

  • Grzegorz Popek
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4253)


In this paper, an agent architecture is presented and a formal model for a preference choice module and planning module based on vague knowledge is described. An agent situated in an environment gathers information about objects placed around it and stores this information inside it’s own database. According to it’s preferences, an agent plans it’s actions in order to change surrounding environment into it’s preferences. Because of a partial lack of knowledge about an environment, an agent chooses a plan with a highest success ratio due to it’s previous observations.


Multiagent System Prefer State Agent Architecture Profile Space High Success Ratio 
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 Berlin Heidelberg 2006

Authors and Affiliations

  • Grzegorz Popek
    • 1
  1. 1.Institute of Information Science and EngineeringWrocław University of TechnologyWrocławPoland

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