- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Toward Robots That Reason: Logic, Probability & Causal Laws
About this book
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.
Information
Table of contents
- Cover
- Front Matter
- 1.Ā Introduction
- 2.Ā Representation Matters
- 3.Ā From Predicate Calculus to the Situation Calculus
- 4.Ā Knowledge
- 5.Ā Probabilistic Beliefs
- 6.Ā Continuous Distributions
- 7.Ā Localization
- 8.Ā Regression and Progression
- 9.Ā Programs
- 10.Ā A Modal Reconstruction
- 11.Ā Conclusions
- Back Matter
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Yes, you can access Toward Robots That Reason: Logic, Probability & Causal Laws by Vaishak Belle in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over 1.5 million books available in our catalogue for you to explore.