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This glossary of artificial intelligence terms is about artificial intelligence, its sub-disciplines, and related fields.

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  1. ^ Jang, Sun, Mizutani (1997) – Neuro-Fuzzy and Soft Computing – Prentice Hall, pp 335–368, ISBN 0-13-261066-3
  2. ^ Russell, S.J.; Norvig, P. (2002). Artificial Intelligence: A Modern Approach. Prentice Hall. ISBN 978-0-13-790395-5.
  3. ^ See Dung (1995)
  4. ^ See Besnard and Hunter (2001)
  5. ^ see Bench-Capon (2002)
  6. ^ Russell & Norvig 2009, p. 2.
  7. ^ Goodfellow, Ian; Bengio, Yoshua; Courville, Aaaron (2016) Deep Learning. MIT Press. p. 196. ISBN 9780262035613
  8. ^ Feigenbaum, Edward (1988). The Rise of the Expert Company. Times Books. p. 317. ISBN 978-0-8129-1731-4.
  9. ^ McTear et al 2016, p. 167.
  10. ^ Pham DT, Ghanbarzadeh A, Koc E, Otri S, Rahim S and Zaidi M. The Bees Algorithm. Technical Note, Manufacturing Engineering Centre, Cardiff University, UK, 2005.
  11. ^ Fisher, Douglas H. (July 1987). "Improving inference through conceptual clustering". Proceedings of the 1987 AAAI Conferences. AAAI Conference. Seattle Washington. pp. 461–465.
  12. ^ William Iba and Pat Langley (27 January 2011). "Cobweb models of categorization and probabilistic concept formation". In Emmanuel M. Pothos and Andy J. Wills (ed.). Formal approaches in categorization. Cambridge: Cambridge University Press. pp. 253–273. ISBN 9780521190480.
  13. ^ Schrijver, Alexander (February 1, 2006). A Course in Combinatorial Optimization (PDF), page 1.
  14. ^ HAYKIN, S. Neural Networks - A Comprehensive Foundation. Second edition. Pearson Prentice Hall: 1999.
  15. ^ Hulstijn, J, and Nijholt, A. (eds.). Proceedings of the International Workshop on Computational Humor. Number 12 in Twente Workshops on Language Technology, Enschede, Netherlands. University of Twente, 1996.
  16. ^ Trappenberg, Thomas P. (2002). Fundamentals of Computational Neuroscience. United States: Oxford University Press Inc. p. 1. ISBN 978-0-19-851582-1.
  17. ^ Gerstner, W.; Kistler, W.; Naud, R.; Paninski, L. (2014). Neuronal Dynamics. Cambridge, UK: Cambridge University Press. ISBN 9781107447615.
  18. ^ Dana H. Ballard; Christopher M. Brown (1982). Computer Vision. Prentice Hall. ISBN 0-13-165316-4.
  19. ^ Huang, T. (1996-11-19). Vandoni, Carlo, E, ed. Computer Vision : Evolution And Promise (PDF). 19th CERN School of Computing. Geneva: CERN. pp. 21–25. doi:10.5170/CERN-1996-008.21. ISBN 978-9290830955.
  20. ^ Milan Sonka; Vaclav Hlavac; Roger Boyle (2008). Image Processing, Analysis, and Machine Vision. Thomson. ISBN 0-495-08252-X.
  21. ^ Zhang, Wei (1988). "Shift-invariant pattern recognition neural network and its optical architecture". Proceedings of annual conference of the Japan Society of Applied Physics.
  22. ^ Solomonoff, R.J.The Time Scale of Artificial Intelligence; Reflections on Social Effects, Human Systems Management, Vol 5 1985, Pp 149-153
  23. ^ Moor, J., The Dartmouth College Artificial Intelligence Conference: The Next Fifty years, AI Magazine, Vol 27, No., 4, Pp. 87-9, 2006
  24. ^ Kline, Ronald R., Cybernetics, Automata Studies and the Dartmouth Conference on Artificial Intelligence, IEEE Annals of the History of Computing, October–December, 2011, IEEE Computer Society
  25. ^ Lloyd, J.W., Practical Advantages of Declarative Programming
  26. ^ Bengio, Y.; Courville, A.; Vincent, P. (2013). "Representation Learning: A Review and New Perspectives". IEEE Transactions on Pattern Analysis and Machine Intelligence. 35 (8): 1798–1828. arXiv:1206.5538. doi:10.1109/tpami.2013.50.
  27. ^ Demazeau, Yves, and J-P. Müller, eds. Decentralized Ai. Vol. 2. Elsevier, 1990.
  28. ^ Russell, Stuart; Norvig, Peter (2009). "26.3: The Ethics and Risks of Developing Artificial Intelligence". Artificial Intelligence: A Modern Approach. Prentice Hall. ISBN 978-0-13-604259-4.
  29. ^ Bostrom, Nick (2002). "Existential risks". Journal of Evolution and Technology (9.1): 1–31.
  30. ^ Jackson, Peter (1998), Introduction To Expert Systems (3 ed.), Addison Wesley, p. 2, ISBN 978-0-201-87686-4
  31. ^ Feigenbaum, Edward (1988). The Rise of the Expert Company. Times Books. p. 318. ISBN 978-0-8129-1731-4.
  32. ^ Sardar, Z. (2010) The Namesake: Futures; futures studies; futurology; futuristic; Foresight -- What’s in a name? Futures, 42 (3), pp. 177–184.
  33. ^ Pedrycz, Witold (1993). Fuzzy control and fuzzy systems (2 ed.). Research Studies Press Ltd.
  34. ^ Hájek, Petr (1998). Metamathematics of fuzzy logic (4 ed.). Springer Science & Business Media.
  35. ^ Mitchell 1996, p. 2.
  36. ^ E. K. Burke, E. Hart, G. Kendall, J. Newall, P. Ross, and S. Schulenburg, Hyper-heuristics: An emerging direction in modern search technology, Handbook of Metaheuristics (F. Glover and G. Kochenberger, eds.), Kluwer, 2003, pp. 457–474.
  37. ^ P. Ross, Hyper-heuristics, Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques (E. K. Burke and G. Kendall, eds.), Springer, 2005, pp. 529-556.
  38. ^ E. Ozcan, B. Bilgin, E. E. Korkmaz, A Comprehensive Analysis of Hyper-heuristics, Intelligent Data Analysis, 12:1, pp. 3-23, 2008.
  39. ^ D.A. Duce, G.A. Ringland (1988). Approaches to Knowledge Representation, An Introduction. Research Studies Press, Ltd. ISBN 978-0-86380-064-1.
  40. ^ Roger Schank; Robert Abelson (1977). Scripts, Plans, Goals, and Understanding: An Inquiry Into Human Knowledge Structures. Lawrence Erlbaum Associates, Inc.
  41. ^ Gagniuc, Paul A. (2017). Markov Chains: From Theory to Implementation and Experimentation. USA, NJ: John Wiley & Sons. pp. 1–235. ISBN 978-1-119-38755-8.
  42. ^ Malcolm Tatum (October 3, 2012). "What is Machine Perception".
  43. ^ Alexander Serov (January 29, 2013). "Subjective Reality and Strong Artificial Intelligence" (PDF).
  44. ^ R. Balamurugan; A.M. Natarajan; K. Premalatha (2015). "Stellar-Mass Black Hole Optimization for Biclustering Microarray Gene Expression Data". Applied Artificial Intelligence an International Journal. 29 (4): 353–381. doi:10.1080/08839514.2015.1016391.
  45. ^ Bianchi, Leonora; Marco Dorigo; Luca Maria Gambardella; Walter J. Gutjahr (2009). "A survey on metaheuristics for stochastic combinatorial optimization". Natural Computing. 8 (2): 239–287. doi:10.1007/s11047-008-9098-4.
  46. ^ Herbert B. Enderton, 2001, A Mathematical Introduction to Logic Second Edition Enderton:110, Harcourt Academic Press, Burlington MA, ISBN 978-0-12-238452-3.

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