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Belle V. Toward Robots That Reason. Logic, Probability & Causal Laws 2023
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Category:Other Total size: 2.26 MB Added: 6 months ago (2025-03-10 23:38:54)
Share ratio:2 seeders, 0 leechers Info Hash:B6F9D79EB189B933A593E791EAF1455214B63E78 Last updated: 14 hours ago (2025-09-16 00:24:53)
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Description:
Textbook in PDF format
Explains the need for integrating logic and probability in AI systems and the challenges that arise in doing so
Presents a model for capturing causal laws that describe dynamics and computational reasoning ideas
Includes both high-level ideas and detailed exercises that employ technical applications
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