Artificial intelligence -- PeriodicalsSee also what's at your library, or elsewhere.
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Filed under: Artificial intelligence -- Periodicals
Filed under: Computer vision -- PeriodicalsFiled under: Machine learning -- PeriodicalsFiled under: Neural networks (Computer science) -- PeriodicalsFiled under: Artificial intelligence -- Educational applications -- Periodicals
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Filed under: Artificial intelligence- AI for Everyone? Critical Perspectives (London: University of Westminster Press, c2021), ed. by Pieter Verdegem (multiple formats with commentary at University of Westminster Press)
- Artificial Intelligence and Games (2018), by Georgios N. Yannakakis and Julian Togelius (PDF with commentary at gameaibook.org)
- Artificial Intelligence and Responsive Optimization (second edition, 2003), by Mohammad Khosnevisan, Sukanto Bhattacharya, and Florentin Smarandache (PDF at UNM)
- Are We Spiritual Machines? Ray Kurzweil vs. the Critics of Strong A.I. (c2002), ed. by Jay W. Richards, contrib. by Ray Kurzweil, John R. Searle, Michael J. Denton, William A. Dembski, Thomas S. Ray, and George F. Gilder (at kurzweilai.net)
- Artificial Intelligence (third edition, reprinted with corrections; Reading, MA et al.: Addison-Wesley Pub. Co., 1993), by Patrick Henry Winston (PDF at MIT)
- The Age of Intelligent Machines (c1992), by Ray Kurzweil (at kurzweilai.net)
- The Boundaries of Humanity: Humans, Animals, Machines (Berkeley: University of California Press, 1991), ed. by James J. Sheehan and Morton Sosna (HTML at UC Press)
- Artificial Intelligence Through Prolog (1988), by Neil C. Rowe (HTML at nps.edu)
- How Mobile Robots can Self-Organise a Vocabulary (Berlin: Language Science Press, c2015), by Paul Vogt
- Applications of Robotics and Artificial Intelligence to Reduce Risk and Improve Effectiveness: A Study for the United States Army (1983), by National Research Council Commission on Engineering and Technical Systems (page images with commentary at NAP)
- When Things Start to Think (c1999), by Neil A. Gershenfeld (HTML with commentary at kurzweilai.net)
- Elements of Robotics (Cham: Springer Open, c2018), by M. Ben-Ari and Francesco Mondada (PDF and EPub with commentary at EPFL and Springer)
- Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp (c1992), by Peter Norvig (multiple formats with commentary at Github)
- From Bricks to Brains: The Embodied Cognitive Science of LEGO Robots (Edmonton: AU Press, c2010), by Michael Robert William Dawson, Brian Dupuis, and Michael Wilson (PDF with commentary at AU Press)
- The Computer Revolution in Philosophy: Philosophy, Science and Models of Mind (1978, with added notes and corrections), by Aaron Sloman (HTML and PDF with commentary in the UK)
- The Origin and Its Meaning, by Roger Ellman (PDF files at the-origin.org)
Filed under: Artificial intelligence -- Economic aspects
Filed under: Artificial intelligence -- Fiction- Accelerando (2005), by Charles Stross (multiple formats with commentary at antipope.org)
- Old Soldiers (included on a Baen CD image; c2005), by David Weber
- Bolo! (included on a CD image), by David Weber, contrib. by Keith Laumer
- The Fourth "R", by George O. Smith
- Halo, by Tom Maddox (HTML at dthomasmaddox.com)
Filed under: Artificial intelligence -- History
Filed under: Artificial intelligence -- Moral and ethical aspects
Filed under: Artificial intelligence -- Philosophy
Filed under: Artificial intelligence -- Research
Filed under: Artificial intelligence -- Social aspects- Towards a New Enlightenment? A Transcendent Decade (Madrid: BBVA, c2018), contrib. by Francisco González Rodríguez, Martin J. Rees, José M. Sánchez Ron, María Martinón-Torres, Alex Pentland, Sandeep Tiwari, Joanna J. Bryson, Ramon López de Mántaras, José M. Mato, Daniela Rus, Samuel H. Sternberg, Peter Kalmus, Ernesto Zedillo Ponce de León, Victoria Robinson, Barry J. Eichengreen, Michelle Baddeley, Nancy H. Chau, S. M. Ravi Kanbur, Vivien Ann Schmidt, Diana Marie Owen, Yang Xu, Carlo Ratti, and Amos N. Guiora (multiple formats with commentary at bbvaopenmind.com)
- Artificial Communication: How Algorithms Produce Social Intelligence (Cambridge, MA and London: MIT Press, c2022), by Elena Esposito (PDF files with commentary at MIT Press)
- The Amazing Journey of Reason: From DNA to Artificial Intelligence (Cham: Springer, c2020), by Mario Alemi (PDF and Epub with commentary at Springer)
- The Future Computed: Artificial Intelligence and its Role in Society (2018), by Microsoft Corporation (PDF with commentary at microsoft.com)
Filed under: Artificial intelligence -- Textbooks
Filed under: Adaptive control systemsFiled under: Automatic theorem provingFiled under: Computational intelligenceFiled under: Computer visionFiled under: Expert systems (Computer science)Filed under: Machine learning- Graph Representation Learning (prepublication version, 2020), by William L. Hamilton (PDF at McGill)
- Probabilistic Machine Learning for Civil Engineers (prepublication version; 2020), by James-A. Goulet (PDF files with commentary at polymtl.ca)
- Foundations of Machine Learning (second edition; Cambridge, MA and London: MIT Press, c2018), by Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar (HTML at ublish.com)
- Elements of Causal Inference: Foundations and Learning Algorithms (Cambridge, MA and London: MIT Press, c2017), by Jonas Peters, Dominik Janzing, and Bernhard Schölkopf (PDF with commentary at MIT Press)
- Machine Learning (main text c1997; additional chapters c2017), by Tom M. Mitchell (PDF with commentary at CMU)
- Deep Learning (prepublication version; 2016), by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (illustrated HTML with commentary at deeplearningbook.org)
- Bayesian Reasoning and Machine Learning (free online edition, c2014), by David Barber (PDF with commentary in the UK)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction (second edition, 2009), by Trevor Hastie, Robert Tibshirani, and J. H. Friedman (PDF with commentary at Stanford)
- Reinforcement Learning: An Introduction (first and second editions, 1998 and 2018), by Richard S. Sutton and Andrew G. Barto (HTML and PDF at incompleteideas.net)
- Pattern Recognition and Machine Learning (c2006), by Christopher M. Bishop (PDF at microsoft.com)
- Ethics and Data Science (c2019), by Michael Kosta Loukides, Hilary Mason, and DJ Patil (HTML at oreilly.com)
- A Course in Machine Learning, by Hal Daumé (PDF with commentary at ciml.info)
- Machine Learning, Neural and Statistical Classification, ed. by Donald Michie, D. J. Spiegelhalter, and Charles C. Taylor (PDF and gzipped Postscript in the UK)
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