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ADOPT JaCaMo: Accountability-Driven Organization Programming Technique for JaCaMo

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PRIMA 2017: Principles and Practice of Multi-Agent Systems (PRIMA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10621))

Abstract

This work concerns the challenge of computational accountability in a multiagent setting where agents interact inside organizations. We illustrate the requirements to realize accountability with the help of a scenario. Then, we provide a characterization of computational accountability in terms of a few general principles. We introduce and explain the ADOPT accountability protocol and show how it satisfies these principles with the help of model checking.

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Notes

  1. 1.

    In the present proposal accountability is crisp and either holds or does not hold.

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Acknowledgments

This work was partially supported by the Accountable Trustworthy Organizations and Systems (AThOS) project, funded by Università degli Studi di Torino and Compagnia di San Paolo (CSP 2014). The authors warmly thank the reviewers for their constructive and helpful comments which helped revising the paper.

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Correspondence to Matteo Baldoni .

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Baldoni, M., Baroglio, C., May, K.M., Micalizio, R., Tedeschi, S. (2017). ADOPT JaCaMo: Accountability-Driven Organization Programming Technique for JaCaMo. In: An, B., Bazzan, A., Leite, J., Villata, S., van der Torre, L. (eds) PRIMA 2017: Principles and Practice of Multi-Agent Systems. PRIMA 2017. Lecture Notes in Computer Science(), vol 10621. Springer, Cham. https://doi.org/10.1007/978-3-319-69131-2_18

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  • DOI: https://doi.org/10.1007/978-3-319-69131-2_18

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