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AI education matters: biductive computing with prolog

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Joshua EckrothAuthors Info & Claims

AI Matters, Volume 5, Issue 1

Pages 14 - 16

https://doi.org/10.1145/3320254.3320261

Published: 22 April 2019 Publication History

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Abstract

Prolog is a great language to include in an undergraduate AI course. Its logical programming paradigm challenges students to write code in a way that is usually very different from their other courses. Students struggle with its approach but, in my experience, come to appreciate its ability to handle a broad range of AI tasks elegantly.

References

[1]

Eckroth, J. (2018). AI Blueprints: How to build and deploy AI business projects. Packt Publishing.

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[2]

Eckroth, J., & Anderson, R. (2019). Tarot: A course advising system for the future. The Journal of Computing Sciences in Colleges, 34(3), 108--116.

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Google Scholar

[3]

Triska, M. (2012). The finite domain constraint solver of SWI-Prolog. In Flops (Vol. 7294, p. 307--316).

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AI education matters: biductive computing with prolog
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs

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Published In

AI Matters Volume 5, Issue 1

April 2019

30 pages

EISSN:2372-3483

DOI:10.1145/3320254

Editors:
Amy McGovern
University of Oklahoma
,
Iolanda Leite
KTH

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 April 2019

Published in SIGAI-AIMATTERS Volume 5, Issue 1

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