Toward Robots That Reason: Logic, Probability & Causal Laws
English | 2023 | ISBN: 3031210026 | 201 Pages | PDF (True) | 2.2 MB
English | 2023 | ISBN: 3031210026 | 201 Pages | PDF (True) | 2.2 MB
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.