Reasoning about risk in agent's deliberation process: a Jadex implementation

Y. Asnar, P. Giorgini, N. Zannone

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)

    Abstract

    Autonomous agents and multi-agent systems have been proved to be useful in several safety-critical applications. However, in current agent architectures (particularly BDI architectures) the deliberation process does not include any form of risk analysis. In this paper, we propose guidelines to implement Tropos Goal-Risk reasoning. Our proposal aims at introducing risk reasoning in the deliberation process of a BDI agent so that the overall set of possible plans is evaluated with respect to risk. When the level of risk results too high, agents can consider and introduce additional plans, called treatments, that produce an overall reduction of the risk. Side effects of treatments are also considered as part of the model. To make the discussion more concrete, we illustrate the proposal with a case study on the Unmanned Aerial Vehicle agent.
    Original languageEnglish
    Title of host publicationAgent-Oriented Software Engineering VIII
    Subtitle of host publication8th International Workshop, AOSE 2007, Honolulu HI, USA, May 14, 2007, Revised Selected Papers
    EditorsM. Luck, L. Padgham
    Place of PublicationBerlin
    PublisherSpringer
    Chapter9
    Pages118-131
    Number of pages14
    ISBN (Electronic)978-3-540-79488-2
    ISBN (Print)978-3-540-79487-5
    DOIs
    Publication statusPublished - 2008

    Publication series

    NameLecture Notes in Computer Science (LNCS)
    Volume4951
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

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  • Cite this

    Asnar, Y., Giorgini, P., & Zannone, N. (2008). Reasoning about risk in agent's deliberation process: a Jadex implementation. In M. Luck, & L. Padgham (Eds.), Agent-Oriented Software Engineering VIII : 8th International Workshop, AOSE 2007, Honolulu HI, USA, May 14, 2007, Revised Selected Papers (pp. 118-131). (Lecture Notes in Computer Science (LNCS); Vol. 4951). Springer. https://doi.org/10.1007/978-3-540-79488-2_9