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Toward Robots That Reason: Logic, Probability & Causal Laws

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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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783031210020
  • Indbinding:
  • Hardback
  • Sideantal:
  • 204
  • Udgivet:
  • 21. februar 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 173x17x246 mm.
  • Vægt:
  • 527 g.
  • Ukendt - mangler pt..
Forlænget returret til d. 31. januar 2025

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Beskrivelse af Toward Robots That Reason: Logic, Probability & Causal Laws

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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