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Toward Robots That Reason: Logic, Probability & Causal Laws / by Vaishak Belle.
Springer Nature Synthesis Collection of Technology Collection 12 (2023) Available online
View online- Format:
- Book
- Author/Creator:
- Belle, Vaishak, Author.
- Series:
- Synthesis lectures on artificial intelligence and machine learning 1939-4616
- Synthesis Lectures on Artificial Intelligence and Machine Learning, 1939-4616
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Robotics.
- Computer science-Mathematics.
- Mathematical statistics.
- Logic design.
- Application software.
- Data mining.
- Artificial Intelligence.
- Probability and Statistics in Computer Science.
- Logic Design.
- Computer and Information Systems Applications.
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Artificial Intelligence.
- Robotics.
- Probability and Statistics in Computer Science.
- Logic Design.
- Computer and Information Systems Applications.
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (XIII, 190 pages 27 illustrations, 14 illustrations in color)
- Edition:
- 1st ed. 2023.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2023.
- System Details:
- text file PDF
- Summary:
- 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. .
- Contents:
- Preface
- Acknowledgments
- Introduction
- Representation Matters
- From Predicate Calculus to the Situation Calculus
- Knowledge
- Probabilistic Beliefs
- Continuous Distributions
- Localization
- Regression and Progression
- Programs
- A Modal Reconstruction
- Conclusions.
- Other Format:
- Printed edition:
- ISBN:
- 9783031210037
- Access Restriction:
- Restricted for use by site license.
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