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文章基本信息

  • 标题:Constraint Programming as an AI Option
  • 本地全文:下载
  • 作者:Russ Abbott ; Jung Soo Lim
  • 期刊名称:Journal of Systemics, Cybernetics and Informatics
  • 印刷版ISSN:1690-4532
  • 电子版ISSN:1690-4524
  • 出版年度:2021
  • 卷号:19
  • 期号:3
  • 页码:14-22
  • 语种:English
  • 出版社:International Institute of Informatics and Cybernetics
  • 摘要:We examine the history of Artificial Intelligence, from its audacious beginnings to the current day. We argue that constraint programming (a) is the rightful heir and modernday descendent of that early work and (b) offers a more stable and reliable platform for AI than deep machine learning. We offer a tutorial on constraint programming solvers that should be accessible to most software developers. We show how constraint programming works, how to implement constraint programming in Python, and how to integrate a Python constraint-programming solver with other Python code.
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