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Fuzzy Logic++: Towards Developing Fuzzy Education Curricula Using ACM/IEEE/AAAI CS2023

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Fuzzy Information Processing 2023 (NAFIPS 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 751))

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Abstract

Fuzzy Logic education has been considered part of artificial intelligence, which in many cases, can be found in the electives curricula or, inclusively, at the graduate studies for the past decades. Because of the persistent emergence of computing areas, such as Artificial Intelligence and Machine Learning, Robotics, and others, there is an appetite for recognizing concepts on intelligent systems in undergraduate education. The ACM/IEEE/AAAI Computer Science Curricula, also known as CS2023, has proposed significant changes from the last version CS2013, particularly in artificial intelligence. These proposed recommendations will have an impact in the next ten years in computer science undergraduate education, including fundamentals of computer programming. This work presents the changes that may impact computer science education curricula, particularly the knowledge areas and competencies model that will influence fuzzy logic education and computing. We also present the intersection of knowledge areas in fuzzy logic, especially for explainable AI.

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Acknowledgments

Partial support for this work was provided by the National Science Foundation under grant DUE-2231333.

Author information

Authors and Affiliations

  1. Information Technology Systems Department, El Paso Community College, 919 Hunter Dr., El Paso, TX, 79915-1908, USA

    Christian Servin

  2. School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland

    Brett A. Becker

  3. Computer and Information Science Department, University of Pennsylvania, 3330 Walnut Street, Philadelphia, PA, 19104-6309, USA

    Eric Eaton

  4. Computer Science, Ramapo College of New Jersey, 505 Ramapo Valley Road, Mahwah, NJ, 07430-1680, USA

    Amruth Kumar

Authors
  1. Christian Servin
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  2. Brett A. Becker
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  3. Eric Eaton
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  4. Amruth Kumar
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Corresponding author

Correspondence to Christian Servin .

Editor information

Editors and Affiliations

  1. University of Cincinnati, Cincinnati, OH, USA

    Kelly Cohen

  2. Thales Avionics, Cincinnati, OH, USA

    Nicholas Ernest

  3. DigiPen Institute of Technology, Redmond, WA, USA

    Barnabas Bede

  4. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Vladik Kreinovich

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Servin, C., Becker, B.A., Eaton, E., Kumar, A. (2023). Fuzzy Logic++: Towards Developing Fuzzy Education Curricula Using ACM/IEEE/AAAI CS2023. In: Cohen, K., Ernest, N., Bede, B., Kreinovich, V. (eds) Fuzzy Information Processing 2023. NAFIPS 2023. Lecture Notes in Networks and Systems, vol 751. Springer, Cham. https://doi.org/10.1007/978-3-031-46778-3_17

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