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Towards an ILP Application in Machine Ethics

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Inductive Logic Programming (ILP 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11770))

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Abstract

Machine Ethics is a newly emerging interdisciplinary field which is concerned with adding an ethical dimension to Artificial Intelligent (AI) agents. In this paper we address the problem of representing and acquiring rules of codes of ethics in the online customer service domain. The proposed solution approach relies on the non-monotonic features of Answer Set Programming (ASP) and applies ILP. The approach is illustrated by means of examples taken from the preliminary tests conducted with a couple of state-of-the-art ILP algorithms for learning ASP rules.

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Notes

  1. 1.

    https://github.com/cathexis-bris-ac-uk/XHAIL.

  2. 2.

    https://github.com/nkatzz/ILED.

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Authors and Affiliations

  1. Dipartimento di Ingegneria e Scienze dell’Informazione e Matematica, Università degli Studi dell’Aquila, L’Aquila, Italy

    Abeer Dyoub & Stefania Costantini

  2. Dipartimento di Informatica & Centro Interdipartimentale di Logica e Applicazioni (CILA), Università degli Studi di Bari “Aldo Moro”, Bari, Italy

    Francesca A. Lisi

Authors
  1. Abeer Dyoub
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  2. Stefania Costantini
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  3. Francesca A. Lisi
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Corresponding author

Correspondence to Francesca A. Lisi .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of York, Heslington, UK

    Dimitar Kazakov

  2. Department of Computer Science, University of York, Heslington, UK

    Can Erten

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Dyoub, A., Costantini, S., Lisi, F.A. (2020). Towards an ILP Application in Machine Ethics. In: Kazakov, D., Erten, C. (eds) Inductive Logic Programming. ILP 2019. Lecture Notes in Computer Science(), vol 11770. Springer, Cham. https://doi.org/10.1007/978-3-030-49210-6_3

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  • DOI: https://doi.org/10.1007/978-3-030-49210-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49209-0

  • Online ISBN: 978-3-030-49210-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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