Vaishak Belle

Gebundenes Buch

Toward Robots That Reason: Logic, Probability & Causal Laws

Beschreibung

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.

Autor

Vaishak Belle, Ph.D., is a Chancellor's Fellow and Reader at The University of Edinburgh School of Informatics. He is also an Alan Turing Institute Faculty Fellow, a Royal Society University Research Fellow, and a member of the Royal Society of Edinburgh's Young Academy of Scotland. Dr. Belle directs a research lab on artificial intelligence at The University of Edinburgh, specializing in the unification of symbolic logic and machine learning. He has co-authored over 50 scientific articles on AI, and has won several best paper awards.

Produktdetails

• Synthesis Lectures on Artificial Intelligence and Machine Learning
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-21002-0
• 2023
• Seitenzahl: 204
• Erscheinungstermin: 21. Februar 2023
• Englisch
• Abmessung: 246mm x 173mm x 17mm
• Gewicht: 527g
• ISBN-13: 9783031210020
• ISBN-10: 3031210026
• Artikelnr.: 65999714