81 research outputs found

    Engineering Business Process through Accountability and Agents

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    Social Computing in JaCaMo

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    Abstract. Social Computing (SC) requires agents to reason seam-lessly both on their social relationships and on their goals, beliefs. We claim the need to explicitly represent the social state and social relationships as resources, available to agents. We built a framework, based on JaCaMo, where this vision is realized and SC is imple-mented through social commitments and commitment protocols. 1 PROPOSAL AND MOTIVATION Many systems, developed to support human users, require a transi-tion from an individualistic to a societal perspective. For instance, Socio-Technical Systems (STS) are large-scale, multi-party, cross-organizational systems, which help stakeholders to interact and to use shared resources [11]. Such systems perform a social computation which is the sum of the independent contributions of autonomous, and heterogeneous, parties [10]. Traditional approaches to software engineering do not fit the needs of such systems, because they d

    Advances in infrastructures and tools for multiagent systems

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    In the last few years, information system technologies have focused on solving challenges in order to develop distributed applications. Distributed systems can be viewed as collections of service-provider and ser vice-consumer components interlinked by dynamically defined workflows (Luck and McBurney 2008).Alberola Oltra, JM.; Botti Navarro, VJ.; Such Aparicio, JM. (2014). Advances in infrastructures and tools for multiagent systems. Information Systems Frontiers. 16:163-167. doi:10.1007/s10796-014-9493-6S16316716Alberola, J. M., Búrdalo, L., Julián, V., Terrasa, A., & García-Fornes, A. (2014). An adaptive framework for monitoring agent organizations. Information Systems Frontiers, 16(2). doi: 10.1007/s10796-013-9478-x .Alfonso, B., Botti, V., Garrido, A., & Giret, A. (2014). A MAS-based infrastructure for negotiation and its application to a water-right market. Information Systems Frontiers, 16(2). doi: 10.1007/s10796-013-9443-8 .Andrighetto, G., Castelfranchi, C., Mayor, E., McBreen, J., López-Sánchez, M., & Parsons, S. (2013). (Social) norm dynamics. In G. Andrighetto, G. Governatori, P. Noriega, & L. W. van der Torre (Eds.), Normative multi-agent systems (pp. 135–170). Dagstuhl: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik.Baarslag, T., Fujita, K., Gerding, E. H., Hindriks, K., Ito, T., Jennings, N. R., et al. (2013). Evaluating practical negotiating agents: results and analysis of the 2011 international competition. Artificial Intelligence, 198, 73–103.Boissier, O., Bordini, R. H., Hübner, J. F., Ricci, A., & Santi, A. (2013). Multi-agent oriented programming with JaCaMo. Science of Computer Programming, 78(6), 747–761.Campos, J., Esteva, M., López-Sánchez, M., Morales, J., & Salamó, M. (2011). Organisational adaptation of multi-agent systems in a peer-to-peer scenario. Computing, 91(2), 169–215.Carrera, A., Iglesias, C. 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    Evaluating Plans and Human Response Using a Normative Multi-Agent System

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    International audienceWe describe a socio-technical system designed to train different organisations in emergency management during the preparedness phase. In this system, both humans and the system work together in building organisational context awareness. The system uses a normative multi-agent system and a tangible table for user interaction. Real time virtual feedbacks are used to draw users' attention to the validity of their actions with respect to the emergency plan. Feedback allows the actors to be aware of the other factors that impact the validity of their action (actions of other actors, environment etc.) and to identify the behaviour that is expected of them by the other organisations. The system is still in its prototype phase. Its behaviour is illustrated by example scenarios, showing that it is possible to support collaboration amongst distant actors, in a way that only relevant information is shown
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