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Artificial intelligence : foundataions of computational agents /

By: Contributor(s): Material type: TextTextPublisher: Cambridge, London : Cambridge University Press, 2023Edition: Third editionDescription: xxv, 870 pages : illustrations ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781009258197
Subject(s): DDC classification:
  • 006.3 POI 23
Contents:
Summary: "Fully revised and updated, this comprehensive new edition covers modern AI and machine learning for undergraduate and graduate students. Includes new chapters on deep learning including generative AI, causality and social impact, new social impact sections, major revisions to knowledge graphs, reasoning and decision-making, and more AIPython code"-- Provided by publisher.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Non-borrowing Book Non-borrowing Library D Information Technology 006.3 POI (Browse shelf(Opens below)) Not For Loan 1004533
Book Book Library D Information Technology 006.3 POI (Browse shelf(Opens below)) Available 1004534
Total holds: 0

Includes bibliographical references and indexes.

Part I: Agents in the World -- Chapter 1: Artificial Intelligence and Agents -- Chapter 2: Agent Architectures and Hierarchical Control -- Part II: Reasoning and Planning with Certainty -- Chapter 3: Searching for Solutions -- Chapter 4: Reasoning with Constraints -- Chapter 5: Propositions and Inference -- Chapter 6: Deterministic Planning -- Part III: Learning and Reasoning with Uncertainty -- Chapter 7: Supervised Machine Learning -- Chapter 8: Neural Networks and Deep Learning -- Chapter 9: Reasoning with Uncertainty -- Chapter 10: Learning with Uncertainty -- Chapter 11: Causality -- Part IV: Planning and Acting with Uncertainty -- Chapter 12: Planning with Uncertainty -- Chapter 13: Reinforcement Learning -- Chapter 14: Multiagent Systems -- Part V: Representing Individuals and Relations -- Chapter 15 : Individuals and Relations -- Chapter 16: Knowledge Graphs and Ontologies -- Chapter 17: Relational Learning and Probabilistic Reasoning -- Part VI: The Big Picture -- Chapter 18: The Social Impact of Artificial Intelligence -- Chapter 19: Retrospect and Prospect -- Appendices -- References -- Index of Algorithms -- Index.

























"Fully revised and updated, this comprehensive new edition covers modern AI and machine learning for undergraduate and graduate students. Includes new chapters on deep learning including generative AI, causality and social impact, new social impact sections, major revisions to knowledge graphs, reasoning and decision-making, and more AIPython code"-- Provided by publisher.

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