Toward Robots That Reason: Logic, Probability & Causal Laws (Record no. 85086)
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000 -LEADER | |
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fixed length control field | 03303nam a22006135i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-21003-7 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730163859.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 230220s2023 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031210037 |
-- | 978-3-031-21003-7 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.3 |
100 1# - AUTHOR NAME | |
Author | Belle, Vaishak. |
245 10 - TITLE STATEMENT | |
Title | Toward Robots That Reason: Logic, Probability & Causal Laws |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2023. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XIII, 190 p. 27 illus., 14 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | Synthesis Lectures on Artificial Intelligence and Machine Learning, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. . |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Mathematics. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-21003-7 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2023. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Robotics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Mathematical statistics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Logic design. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Application software. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data mining. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Robotics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Probability and Statistics in Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Logic Design. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer and Information Systems Applications. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data Mining and Knowledge Discovery. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1939-4616 |
912 ## - | |
-- | ZDB-2-SXSC |
No items available.