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An Approach to Resolving Semantic Conflicts of Temporally-Vague Observations in Artificial Cognitive Agent

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

Abstract

A population of artificial cognitive agents is studied, where agents gather their individual knowledge in strictly private knowledge bases. In this paper we present an approach which integrates the autonomously obtained temporally-vague observations forming the global system perspective of the observed reality. This global system view is then extended in order to reach highest possible consistency. An effective and simple procedure for extending consensus obtained observations is proposed and discussed.

Keywords

Multiagent System Autonomous Agent Global System Knowledge State Base Profile 
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

  • Wojciech Lorkiewicz
    • 1
  1. 1.Institute of Information Science and EngineeringWrocław University of TechnologyWrocławPoland

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