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World Modeling for Intelligent Autonomous Systems
Belkin, Andrey
2017
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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/1000066938Editions