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Toward a Peircean Theory of Human Learning: Revealing the Misconception of Belief Revision

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Conceptual Structures for STEM Research and Education (ICCS 2013)

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Abstract

Belief Revision was conceived to model how humans do think, and has found application in machine learning. This paper argues that Peirce’s theory of inquiry conceives how we must think, if we want to keep improving our knowledge. Distinguishing between these two views, psychological (empirical) and pragmatic (normative), is crucial to our improvement of human learning methodology, especially as we develop interactive engagement methods for learning STEM concepts. Examining efforts to model Belief Revision in AI can reveal the limitations of this conceptualization for human learning, due to its misconception of Peirce’s pragmatic theory of inquiry.

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Authors and Affiliations

  1. Ostfalia University of Applied Sciences, Wolfenbüttel, Germany

    Mary Keeler & Uta Priss

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  1. Mary Keeler
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  2. Uta Priss
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Editors and Affiliations

  1. Akamai Physics, Inc., 88005, Las Cruces, Mexico

    Heather D. Pfeiffer

  2. Higher School of Economics, National Research University, Pokrovsky boulvard 11, 109028, Moscow, Russia

    Dmitry I. Ignatov

  3. Katholieke Universiteit Leuven, 3000, Leuven, Belgium

    Jonas Poelmans

  4. Tata Institute of Fundamental Reseach, 400088, Mumbay, India

    Nagarjuna Gadiraju

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Keeler, M., Priss, U. (2013). Toward a Peircean Theory of Human Learning: Revealing the Misconception of Belief Revision . In: Pfeiffer, H.D., Ignatov, D.I., Poelmans, J., Gadiraju, N. (eds) Conceptual Structures for STEM Research and Education. ICCS 2013. Lecture Notes in Computer Science(), vol 7735. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35786-2_14

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  • DOI: https://doi.org/10.1007/978-3-642-35786-2_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35785-5

  • Online ISBN: 978-3-642-35786-2

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