World Modeling for Intelligent Autonomous Systems
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Beschreibung
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.
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.
Autor*in
Andrey Belkin
Themen in »World Modeling for Intelligent Autonomous Systems«
Bayes Umweltmodellierung Robotics Entropy Robotik Informationsfusion Entropie Information Fusion Bayes World Modeling