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Toward Robots That Reason: Logic, Probability & Causal Laws - Softcover

 
9783031210044: Toward Robots That Reason: Logic, Probability & Causal Laws

Synopsis

This book discusses the two fundamental elements that underline the science and design of artificial intelligence (AI) systems: the learning and acquisition of knowledge from observational data, and the reasoning of that knowledge together with whatever information is available about the application at hand. It then presents a mathematical treatment of the core issues that arise when unifying first-order logic and probability, especially in the presence of dynamics, including physical actions, sensing actions and their effects. A model for expressing causal laws describing dynamics is also considered, along with computational ideas for reasoning with such laws over probabilistic logical knowledge.

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  • PublisherSpringer
  • Publication date2023
  • ISBN 10 3031210042
  • ISBN 13 9783031210044
  • BindingPaperback
  • LanguageEnglish
  • Number of pages206

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9783031210020: Toward Robots That Reason: Logic, Probability & Causal Laws (Synthesis Lectures on Artificial Intelligence and Machine Learning)

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ISBN 10:  3031210026 ISBN 13:  9783031210020
Publisher: Springer, 2023
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