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The Categorical Integration of Symbolic and Statistical AI: Quantum NLP and Applications to Cognitive and Machine Bias Problems

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Intelligent Systems Design and Applications (ISDA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1181))

Abstract

Statistical AI is cutting-edge technology in the present landscape of AI research whilst Symbolic AI is generally regarded as good old-fashioned AI. Even so, we contend that induction, i.e., learning from empirical data, cannot constitute a full-fledged form of intelligence on its own, and it is necessary to combine it with deduction, i.e., reasoning on theoretical grounds, in order to achieve the ultimate goal of Strong AI or Artificial General Intelligence. We therefore think of the possibility of integrating Symbolic and Statistical AI, and discuss Quantum Linguistics by Bob Coecke et al., which, arguably, may be seen as the categorical integration of Symbolic and Statistical AI, and as a paradigmatic case of Integrated AI in Natural Language Processing. And we apply it to cognitive bias problems in the Kahneman-Tversky tradition, giving a novel account of them from the standpoints of Symbolic/Statistical/Integrated AI, and thus elucidating the nature of machine biases in them.

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Author information

Authors and Affiliations

  1. The Hakubi Centre for Advanced Research, Kyoto University, Kyoto, Japan

    Yoshihiro Maruyama

Authors
  1. Yoshihiro Maruyama
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Correspondence to Yoshihiro Maruyama .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR), Auburn, WA, USA

    Ajith Abraham

  2. Université Paris-Est Créteil Val-de-Ma, Creteil Cedex, France

    Patrick Siarry

  3. School of Information Science and Engineering, University of Jinan, Jinan, Shandong, China

    Kun Ma

  4. Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

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Maruyama, Y. (2021). The Categorical Integration of Symbolic and Statistical AI: Quantum NLP and Applications to Cognitive and Machine Bias Problems. In: Abraham, A., Siarry, P., Ma, K., Kaklauskas, A. (eds) Intelligent Systems Design and Applications. ISDA 2019. Advances in Intelligent Systems and Computing, vol 1181. Springer, Cham. https://doi.org/10.1007/978-3-030-49342-4_45

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