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The following is a list of required and optional materials for this course. This information is subject to change.

Intr To Artifcl Intlgn - 11746 - CS 47100 - Lecture

    OPTIONAL TEXTBOOK: ISBN: 9780134753119 -- A First Course in Probability
    Author: Sheldon Ross
    Publisher: Not Specified
    Edition/Year:2018

    OPTIONAL TEXTBOOK: ISBN: 9781608454921 -- Algorithms for Reinforcement Learning
    Author: Csaba Szepesvari
    Publisher: Morgan and Claypool Publishers
    Edition/Year:2010

    OPTIONAL TEXTBOOK: ISBN: 9789332543515 -- Artificial Intelligence: A Modern Approach
    Author: Russell and Norvig
    Publisher: Pearson
    Edition/Year:3rd / 2015

    OPTIONAL TEXTBOOK: ISBN: 9780127016108 -- Foundations of Constraint Satisfaction
    Author: Edward Tsang
    Publisher: Not Specified
    Edition/Year:1993

    OPTIONAL TEXTBOOK: ISBN: 9780262013192 -- Probabilistic Graphical Models
    Author: Daphne Koller,Nir Friedman
    Publisher: MIT Press
    Edition/Year:2009

    OPTIONAL TEXTBOOK: ISBN: 9780262039246 -- Reinforcement Learning
    Author: Richard S. Sutton,Andrew G. Barto
    Publisher: A Bradford Book
    Edition/Year:2018

    OPTIONAL SUPPLEMENTAL MATERIAL: Towards common-sense reasoning via conditional simulation: legacies of Turing in artificial intelligence
    Author: Cameron E. Freer, Daniel M. Roy, Joshua B. Tenenbaum
    Publisher: Not Specified
    Edition/Year:Not Specified



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