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World Modeling for Intelligent Autonomous Systems

World Modeling for Intelligent Autonomous Systems

en

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The functioning of intelligent autonomous systems requires constant situation awareness and cognition analysis. Thus, it needs a memory structure that contains a description of the surrounding environment (world model) and serves as a central information hub. This book presents a row of theoretical and experimental results in the field of world modeling. This includes areas of dynamic and prior knowledge modeling, information fusion, management and qualitative/quantitative information analysis.

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Keywords

  • bayes
  • Entropie
  • Entropy
  • information fusion
  • Informationsfusion
  • robotics
  • Robotik
  • Umweltmodellierung
  • World Modeling

Links

DOI: 10.5445/KSP/1000066938

Editions

edition cover

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