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  • 标题:AI and Mathematical Education
  • 本地全文:下载
  • 作者:Angel Garrido
  • 期刊名称:Education Sciences
  • 电子版ISSN:2227-7102
  • 出版年度:2012
  • 卷号:2
  • 期号:1
  • 页码:22-32
  • DOI:10.3390/educ2010022
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要: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.
  • 关键词:mathematical education; mathematical logic; fuzzy logic; AI; computer science
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