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Artificial Intelligence: Foundations of Computational Agents

    Book Name: Artificial Intelligence: Foundations of Computational Agents
    Category: Artificial Intelligence
    Language: English
    Format: PDF
    Free Download: Available


    Artificial Intelligence: Foundations of Computational Agents 

    Textbook for junior to advanced undergraduates and first-year graduate students. It introduces artificial intelligence (AI) using a consistent framework to study the design of intelligent computing agents.

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    Book Description:

    Artificial intelligence, including machine learning, has become a transformative discipline of science and engineering. Artificial Intelligence: Computer Agent Fundamentals introduces AI using a consistent framework to study the design of intelligent computing agents. By showing how fundamental approaches fit into a multi-dimensional design space, readers learn the fundamentals without losing sight of the big picture. The new edition also features extensive coverage of the machine learning literature, as well as the social and ethical implications of AI and ML. The book balances theory and practice, showing how to connect them and extend the science of AI with its technical applications. Although structured as an undergraduate and graduate textbook, the book`s straightforward, self-contained style will also appeal to an audience of professionals, researchers, and independent learners. The second edition is well-supported by strong pedagogical features and online resources to enhance student comprehension.

    Table of contents :

    Machine generated contents note:

    Part I. Agents in the World: What Are Agents and How Can They Be Built?:

    1. Artificial intelligence and agents
    2. Agent architectures and hierarchical control

    Part II. Representing and Reasoning: 3. States and searching

    4. Features and constraints
    5. Propositions and inference
    6. Reasoning under uncertainty

    Part III. Learning and Planning: 7. Learning: overview and supervised learning

    8. Planning with certainty
    9. Planning under uncertainty
    10. Multiagent systems
    11. Beyond supervised learning

    Part IV. Reasoning about Individuals and Relations: 12. Individuals and relations

    13. Ontologies and knowledge-based systems
    14. Relational planning, learning and probabilistic reasoning

    Part V. The Big Picture: 15. Retrospect and prospect

    Appendix A. Mathematical preliminaries and notation.

    About Author

    David L. Poole is a Professor of Computer Science at the University of British Columbia. He is a co-author of three artificial intelligence books including Statistical Relational Artificial Intelligence: Logic, Probability, and Computation (2016). He is a former Chair of the Association for Uncertainty in Artificial Intelligence, the winner of the Canadian AI Association (CAIAC) 2013 Lifetime Achievement Award, and a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and CAIAC.

     

    Artificial Intelligence: Foundations of Computational Agents

    Author(s): David L. Poole; Alan K Mackworth

    Publisher: Cambridge University Press, Year: 2017

    ISBN: 110719539X,9781107195394

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