Encyclopedia of Big Data

Living Edition
| Editors: Laurie A. Schintler, Connie L. McNeely

Artificial Intelligence

Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-32001-4_225-1



Artificial Intelligence (often referred to as AI) is a field in computer science that is concerned with the automation of intelligence and the enablement of machines to achieve complex tasks in complex environments. This definition is an augmentation of two preexisting commonplace AI definitions (Goebel et al. 2016; Luger 2005).

AI is an umbrella that has many subdisciplines, big data analytics is one of them. The traditional promise of machine intelligence is being partially rekindled into a new business intelligence promise through big data analytics.

This entry covers AI, and its multiple subdisciplines.


AI is a field that is built on centuries of thought; however, it became a recognized field for only over 70 years or so. AI is challenged in many ways, identifying what’s artificial versus what is realcan be tricky in some cases, for example: “A tsunami is a large wave in an ocean caused by an earthquake...

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Further Readings

  1. Goebel, R., Tanaka, Y., & Wolfgang, W. (2016). Lecture notes in artificial intelligence series. In: Proceedings of the ninth conference on artificial general intelligence, New York.Google Scholar
  2. Luger, G. (2005). Artificial intelligence, structures and strategies for complex problem solving (5th ed.). Addison Wesley, ISBN: 0-321-26318-9.Google Scholar
  3. Poole, D., & Mackworth, A. (2010). Atificial intelligence: Foundation of computer agents (1st ed.). Cambridge University Press, ISBN: 978-0-511-72946-1.Google Scholar
  4. Turing, A. M. (1950). Computing machinery and intelligence. Journal of the Mind, 59, 433–460.CrossRefGoogle Scholar

Authors and Affiliations

  1. 1.College of ScienceGeorge Mason UniversityFarifaxUSA