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商品詳細
Toward Robots That Reason: Logic, Probability & Causal Laws. 2023 ed.
・ISBN 978-3-031-21002-0 hard EUR 39.99
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★★★
| 著者・編者 | Belle, Vaishak, |
|---|---|
| シリーズ | (Synthesis Lectures on Artificial Intelligence and Machine Learning) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2023 |
| ページ数 | 190 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-48767＞ |
解説
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.