Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>
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.
| Autorius: | Vaishak Belle |
| Serija: | Synthesis Lectures on Artificial Intelligence and Machine Learning |
| Leidėjas: | Springer Nature Switzerland |
| Išleidimo metai: | 2023 |
| Knygos puslapių skaičius: | 204 |
| ISBN-10: | 3031210026 |
| ISBN-13: | 9783031210020 |
| Formatas: | 246 x 173 x 17 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Toward Robots That Reason: Logic, Probability & Causal Laws“
