Toward Robots That Reason: Logic, Probability & Causal Laws (1st ed. 2023) (Synthesis Lectures on Artificial Intelligence and Machine Learning)

By: Vaishak Belle

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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.

Book Quality:: Publisher Quality
ISBN-13:: 9783031210037
Related ISBNs:: 9783031210020
Publisher:: Springer International Publishing
Date of Addition:: 03/25/23
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.