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Velluscinum: A Middleware for Using Digital Assets in Multi-agent Systems

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Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection (PAAMS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13955))

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Abstract

Distributed Ledger Technologies (DLT) characteristics can contribute to several domains, such as Multi-agent Systems (MAS), facilitating the agreement between agents, managing trust relationships, and distributed scenarios. Some contributions to this integration are in the theoretical stage, and the few existing practical contributions have limitations and low performance. This work presents a MAS approach that can use digital assets as a factor of agreement in the relationship between cognitive agents using the Belief-Desire-Intention model. To validate the proposed methodology, we present the middleware Velluscinum that offers new internal actions to agents. The middleware was tested by adapting the Building-a-House classic example to cryptocurrency and agreements mediated by a distributed ledger.

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Notes

  1. 1.

    https://velluscinum.chon.group/.

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Authors and Affiliations

  1. Institute of Computing - Fluminense Federal University (UFF), Niterói, RJ, Brazil

    Nilson Mori Lazarin, Igor Machado Coelho, Carlos Eduardo Pantoja & José Viterbo

  2. Federal Center for Technological Education Celso Suckow da Fonseca (Cefet/RJ), Rio de Janeiro, RJ, Brazil

    Nilson Mori Lazarin & Carlos Eduardo Pantoja

Authors
  1. Nilson Mori Lazarin
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  2. Igor Machado Coelho
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  3. Carlos Eduardo Pantoja
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  4. José Viterbo
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Corresponding author

Correspondence to Nilson Mori Lazarin .

Editor information

Editors and Affiliations

  1. University of Lille, Lille, France

    Philippe Mathieu

  2. Umeå University, Umeå, Sweden

    Frank Dignum

  3. Universidade do Minho, Braga, Portugal

    Paulo Novais

  4. University of Salamanca, Salamanca, Spain

    Fernando De la Prieta

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Mori Lazarin, N., Machado Coelho, I., Pantoja, C.E., Viterbo, J. (2023). Velluscinum: A Middleware for Using Digital Assets in Multi-agent Systems. In: Mathieu, P., Dignum, F., Novais, P., De la Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection. PAAMS 2023. Lecture Notes in Computer Science(), vol 13955. Springer, Cham. https://doi.org/10.1007/978-3-031-37616-0_17

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  • DOI: https://doi.org/10.1007/978-3-031-37616-0_17

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