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Educ. Sci. 2012, 2(1), 22-32;

AI and Mathematical Education

Departamento de Matemáticas Fundamentales, Facultad de Ciencias de la UNED, Paseo Senda del Rey 9. 28040, Madrid, Spain
Received: 23 November 2011 / Revised: 19 December 2011 / Accepted: 23 December 2011 / Published: 6 January 2012
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From ancient times, the history of human beings has developed by a succession of steps and sometimes jumps, until reaching the relative sophistication of the modern brain and culture. Researchers are attempting to create systems that mimic human thinking, understand speech, or beat the best human chess player. Understanding the mechanisms of intelligence, and creating intelligent artifacts are the twin goals of Artificial Intelligence (AI). Great mathematical minds have played a key role in AI in recent years; to name only a few: Janos Neumann (also known as John von Neumann), Konrad Zuse, Norbert Wiener, Claude E. Shannon, Alan M. Turing, Grigore Moisil, Lofti A. Zadeh, Ronald R. Yager, Michio Sugeno, Solomon Marcus, or Lászlo A. Barabási. Introducing the study of AI is not merely useful because of its capability for solving difficult problems, but also because of its mathematical nature. It prepares us to understand the current world, enabling us to act on the challenges of the future. View Full-Text
Keywords: mathematical education; mathematical logic; fuzzy logic; AI; computer science mathematical education; mathematical logic; fuzzy logic; AI; computer science
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Garrido, A. AI and Mathematical Education. Educ. Sci. 2012, 2, 22-32.

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