Toward Robots That Reason: Logic, Probability & Causal Laws Paperback / softback
by Vaishak Belle
Part of the Synthesis Lectures on Artificial Intelligence and Machine Learning series
Paperback / softback
Description
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
-
Out of stock
- Format:Paperback / softback
- Pages:190 pages, 14 Illustrations, color; 13 Illustrations, black and white; XIII, 190 p. 27 illus., 14 il
- Publisher:Springer International Publishing AG
- Publication Date:22/02/2024
- Category:
- ISBN:9783031210051
Other Formats
- Hardback from £28.59
Information
-
Out of stock
- Format:Paperback / softback
- Pages:190 pages, 14 Illustrations, color; 13 Illustrations, black and white; XIII, 190 p. 27 illus., 14 il
- Publisher:Springer International Publishing AG
- Publication Date:22/02/2024
- Category:
- ISBN:9783031210051
