Toward robots that reason: logic, probability & causal laws
Preface.- Acknowledgments.- Introduction.- Representation Matters.- From Predicate Calculus to the Situation Calculus.- Knowledge.- Probabilistic Beliefs.- Continuous Distributions.- Localization.- Regression & Progression.- Programs.- A Modal Reconstruction.- Conclusions.
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| 1. Verfasser: | |
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cham
Springer
2023
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| Schriftenreihe: | Synthesis lectures on artificial intelligence and machine learning
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| Schlagworte: |
Angewandte Informatik
> Artificial intelligence
> COMPUTERS / Artificial Intelligence
> COMPUTERS / Data Processing / General
> COMPUTERS / Database Management / Data Mining
> COMPUTERS / Logic Design
> COMPUTERS / Mathematical & Statistical Software
> Computer architecture & logic design
> Data Mining
> Data mining
> Künstliche Intelligenz
> Mathematik für Informatiker
> Maths for computer scientists
> Probability & statistics
> Rechnerarchitektur und Logik-Entwurf
> Robotics
> Robotik
> TECHNOLOGY & ENGINEERING / Robotics
> Wahrscheinlichkeitsrechnung und Statistik
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| Online Zugang: | Cover Inhaltsverzeichnis |
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| Zusammenfassung: | Preface.- Acknowledgments.- Introduction.- Representation Matters.- From Predicate Calculus to the Situation Calculus.- Knowledge.- Probabilistic Beliefs.- Continuous Distributions.- Localization.- Regression & Progression.- Programs.- A Modal Reconstruction.- Conclusions. 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 |
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| Beschreibung: | Literaturverzeichnis: Seite 181-190 |
| Beschreibung: | xiii, 190 Seiten Diagramme |
| ISBN: | 9783031210020 978-3-031-21002-0 9783031210051 978-3-031-21005-1 |