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International Conference of the Italian Association for Artificial Intelligence

AI*IA 2018: AI*IA 2018 – Advances in Artificial Intelligence pp 30–44Cite as

An Information Model for Computing Accountabilities

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11298))

Abstract

We propose an information model that describes which data should be available, together with their relationships, in order to identify accountabilities in a group of interacting parties. The model is intended for use in multi-agent systems, and is expressed by means of Object-Role Modeling, due to the relational nature of the concepts involved.

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Notes

  1. 1.

    For an introduction to ORM, please check http://www.orm.net/pdf/ORMwhitePaper.pdf.

  2. 2.

    A psychological model by Schlenke et al. which is widely used in the context of human resource management.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, Università degli Studi di Torino, c.so Svizzera 185, 10149, Torino, Italy

    Matteo Baldoni, Cristina Baroglio, Katherine M. May, Roberto Micalizio & Stefano Tedeschi

Authors
  1. Matteo Baldoni
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  2. Cristina Baroglio
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  3. Katherine M. May
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  4. Roberto Micalizio
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  5. Stefano Tedeschi
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Corresponding author

Correspondence to Matteo Baldoni .

Editor information

Editors and Affiliations

  1. Fondazione Bruno Kessler, Povo (TN), Italy

    Chiara Ghidini

  2. Fondazione Bruno Kessler, Povo (TN), Italy

    Bernardo Magnini

  3. University of Trento, Povo (TN), Italy

    Andrea Passerini

  4. Fondazione Bruno Kessler, Povo (TN), Italy

    Paolo Traverso

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Baldoni, M., Baroglio, C., May, K.M., Micalizio, R., Tedeschi, S. (2018). An Information Model for Computing Accountabilities. In: Ghidini, C., Magnini, B., Passerini, A., Traverso, P. (eds) AI*IA 2018 – Advances in Artificial Intelligence. AI*IA 2018. Lecture Notes in Computer Science(), vol 11298. Springer, Cham. https://doi.org/10.1007/978-3-030-03840-3_3

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  • DOI: https://doi.org/10.1007/978-3-030-03840-3_3

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  • Online ISBN: 978-3-030-03840-3

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