The Intelligent Person’s Guide to Books and Articles on Topics in Artificial Intelligence, Robotics, and Cognition Please read my “ Notes on the Guides” at the link below if you are visiting for the first time. You can reach me at: jvaisman@competitive-learning.org This is still very much work-in-progress. This Guide was last updated on. This work is licensed under the Creative Commons Attribution- Non Commercial- No Derivs 3.0 Unported License (available at This work is free for personal and classroom use; you may not use this work for commercial purposes. Your fair use and other rights are in no way affected by the above. Professor Joseph Vaisman Department of Computer Science and Engineering, Polytechnic Institute of NYU jvaisman@poly.edu CONTENTS Shelf01: Beginning AI Shelf02: The Manifest Destiny of Artificial Intelligence Shelf03: Machine Learning Shelf04: Neural Networks Shelf05: Fuzzy Logic and Mathematics Shelf06: Bayesian Networks and Decision Support Shelf07: Evolutionary Computation Shelf08: Computational Intelligence Shelf09: The Turing Test Shelf10: Thoughts, Ideas, Opinions, Surveys, and Blogs Shelf11: Ambient Intelligence ( Am I) Shelf12: Robotics Shelf13: History of AI Shelf14: Cognition = Shelf01: Beginning AI = Artificial Intelligence in the 21st Century: A Living Introduction Stephen Lucci and Danny Kopec Mercury Learning, 2013, ISBN COPY the ISBN number above AND at the link below paste the copied number into the search window, THEN hit “ Enter” * Introduction to Artificial Intelligence Wolfgang Ertel Springer, 2011, ISBN.
“ The book overall is very readable and relevant. One of the most valuable aspects of this book are the worked out examples and numerous (solved) exercises. Overall, this is a very well written and pedagogical book that fills an important niche in the Artificial Intelligence educational literature. Highly recommended.” ( Bojan Tunguz, tunguzreview.com, July, 2015)“ This accessible and concise introduction to the field of artificial intelligence ( AI) is intended primarily for self-study or as a foundation of a short course on the subject. The book consists of ten topic chapters, each one of which offers an extended list of exercises. Chapter 11 contains solutions to all exercises. Additional teaching resources, including lecture slides, are available on the book website.” ( Neli Zlatareva, Zentralblatt MATH, Vol. 1238, 2012)“ The book is aimed primarily at undergraduates who have not yet taken linear algebra or multidimensional calculus. it contains many exercises with solutions at the back; thus, it supports self-learning. The many excellent figures, some in color, help make the material easily understandable. A companion Web site contains supplementary materials, such as program code for the book, most of which is in or commented on in German. Summing Up: Recommended. Upper-division undergraduates and above.” ( S. L. Tanimoto, Choice, Vol. 49 (2 October, 2011).
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