Abstract
This work focuses on cooperative argumentation and conversation in multi-agent systems by introducing an extension of the Arg2P technology that enables parallelisation and distribution of the argumentation process. The computational model and the implementation underpinning the Arg2P technology are presented and discussed.
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Notes
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At the time of writing, only grounded semantics is fully implemented.
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The order of inclusion affects the steps required to converge, not the final state of the system.
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Sources available at https://github.com/tuProlog/arg2p-kt.
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Acknowledgements
This work was supported by the H2020 ERC Project “CompuLaw” (G.A. 833647).
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Pisano, G., Calegari, R., Omicini, A. (2023). Multi-agent Cooperative Argumentation in Arg2P. In: Dovier, A., Montanari, A., Orlandini, A. (eds) AIxIA 2022 – Advances in Artificial Intelligence. AIxIA 2022. Lecture Notes in Computer Science(), vol 13796. Springer, Cham. https://doi.org/10.1007/978-3-031-27181-6_10
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