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An adaptive framework for monitoring agent organizations

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An adaptive framework for monitoring agent organizations

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dc.contributor.author Alberola Oltra, Juan Miguel es_ES
dc.contributor.author Búrdalo Rapa, Luis Antonio es_ES
dc.contributor.author Julian Inglada, Vicente Javier es_ES
dc.contributor.author Terrasa Barrena, Andrés Martín es_ES
dc.contributor.author García-Fornes, A es_ES
dc.date.accessioned 2015-06-18T12:53:31Z
dc.date.available 2015-06-18T12:53:31Z
dc.date.issued 2014-04
dc.identifier.issn 1387-3326
dc.identifier.uri http://hdl.handle.net/10251/51907
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/s10796-013-9478-x es_ES
dc.description.abstract Multiagent technologies are usually considered to be suitable for constructing agent organizations that are capable of running in dynamic and distributed environments and that are able to adapt to changes as the system runs. The necessary condition for this adaptation ability is to make agents aware of significant changes in both the environment and the organization. This paper presents mechanism, which helps agents detecting adaptation requirements dynamically at run time, and an Trace&Trigger, which is an adaptation framework for agent organizations. It consists of an event-tracing-based monitoring mechanism that provides organizational agents with information related to the costs and benefits of carrying out an adaptation process at each moment of the execution. This framework intends to overcome some of the problems that are present in other approaches by allowing the dynamic specification of the information that has to be retrieved by each agent at each moment for adaptation deliberation, avoiding the transference of useless information for adaptation deliberation. This framework has been integrated in the Magentix2 multiagent platform. In order to test its performance benefits for any agent organization, an example based on a market scenario is also presented es_ES
dc.description.sponsorship This work has been supported by projects TIN2011-27652-C03-01 and TIN2012-36586-C03-01. en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation TIN2011-27652-C03-01 es_ES
dc.relation TIN2012-36586-C03-01 es_ES
dc.relation.ispartof Information Systems Frontiers es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Monitoring es_ES
dc.subject Organization es_ES
dc.subject Adaptation es_ES
dc.subject Event es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title An adaptive framework for monitoring agent organizations es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10796-013-9478-x
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Alberola Oltra, JM.; Búrdalo Rapa, LA.; Julian Inglada, VJ.; Terrasa Barrena, AM.; García-Fornes, A. (2014). An adaptive framework for monitoring agent organizations. Information Systems Frontiers. 16(2):239-256. doi:10.1007/s10796-013-9478-x es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://link.springer.com/article/10.1007%2Fs10796-013-9478-x es_ES
dc.description.upvformatpinicio 239 es_ES
dc.description.upvformatpfin 256 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 16 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 280303
dc.identifier.eissn 1572-9419
dc.relation.references Abdu, H., Lutfiyya, H., Bauer, M.A. (1999). A model for adaptive monitoring configurations. In Proceedings of the 6th IFIP/IEEE IM conference on network management (pp. 371–384). es_ES
dc.relation.references Aiello, M., Busetta, P., Donà, A., Serafini, L. (2002). Ontological overhearing. In ATAL ’01: Revised papers from the 8th international workshop on intelligent agents VIII (pp. 175–189). London: Springer. es_ES
dc.relation.references Alberola, J.M., Mulet, L., Such, J., García-Fornes, A., Espinosa, A., Botti, V. (2007). Operating system aware multiagent platform design. In Fifth European workshop on multi-agent systems (EUMAS 2007) (pp. 658–667). es_ES
dc.relation.references Alberola, J.M., Julian, V., Garcia-Fornes, A. (2011). Cost-aware reorganization service for multiagent systems. In Proceedings of the 2nd international workshop ITMAS11 (pp. 60–74). es_ES
dc.relation.references Alberola, J.M., Julian, V., Garcia-Fornes, A. (2012). Multi-dimensional transition deliberation for organization adaptation in multiagent systems. In Proceedings of the eleventh international conference on autonomous agents and multiagent systems (AAMAS-12) (pp. 1379–1380). es_ES
dc.relation.references Alberola, J.M., Julian, V., Garcia-Fornes, A. (2013a). Challenges for adaptation in agent societies. Knowledge and Information Systems, (in press). es_ES
dc.relation.references Alberola, J.M., Julian, V., Garcia-Fornes, A. (2013b). Multi-dimensional adaptation in mas organizations. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 43(2), 622–633. es_ES
dc.relation.references Alberola, J.M., Julian, V., Garcia-Fornes, A. (2013c). Using cost-aware transitions for reorganizing multiagent systems. Engineering Applications of Artificial Intelligence, 26(1), 63–75. es_ES
dc.relation.references AOS Group (2008). An agent infrastructure for providing the decision-making capability required for autonomous systems. http://www.agent-software.com . es_ES
dc.relation.references Argente, E., Julian, V., Botti, V. (2009). MAS modeling based on Organizations. In Post-Proceedings 9th international workshop AOSE’08 (vol. 5386, pp. 16–30). Springer. es_ES
dc.relation.references Bellifemine, F., Caire, G., Trucco, T., Rimassa, G., Mungenast, R. (2007). Jade administrator’s guide. es_ES
dc.relation.references Bordini, R., & Hübner, J. (2007). Jason: a Java-based interpreter for an extended version of AgentSpeak. es_ES
dc.relation.references Bordini, R., Hübner, J., Vieira, R. (2005). Jason and the golden fleece of agent-oriented programming. In G. Weiss, R. Bordini, M. Dastani, J. Dix, & A. Fallah Seghrouchni (Eds.), Multiagent systems, artificial societies, and simulated organizations, multi-agent programming (vol. 15, pp. 3–37). es_ES
dc.relation.references Botía, J.A., Hernansáez, J.M., Gomez-Skarmeta, A. (2004). Towards an approach for debugging mas through the analysis of acl messages. In Multiagent system technologies (vol. 3187, p. E1). Lecture Notes in Computer Science. es_ES
dc.relation.references Botía, J.A., Hernansáez, J.M., Gomez-Skarmeta, A. (2007). On the application of clustering techniques to support debugging large-scale multi-agent systems. Programming Multi-Agent Systems, 4411, 217–227. es_ES
dc.relation.references Bou, E., López-Sánchez, M., Rodríguez-Aguilar, J.A. (2006). Adaptation of autonomic electronic institutions through norms and institutional agents. In Engineering societies in the agents world. Number LNAI 4457 (pp. 300–319). Springer. es_ES
dc.relation.references Bou, E., López-Sánchez, M., Rodríguez-Aguilar, J.A. (2007). Towards self-configuration in autonomic electronic institutions. In COIN 2006 workshops. Number LNAI 4386 (pp. 220–235). Springer. es_ES
dc.relation.references Búrdalo, L., Terrasa, A., Julián, V., García-Fornes. A (2011). Trammas: a tracing model for multiagent systems. Engineering Applications of Artificial Intelligence, 24(7), 1110–1119. es_ES
dc.relation.references Busetta, P., Donà, A., Nori, M. (2002). Channeled multicast for group communications. In AAMAS ’02: Proceedings of the first international joint conference on autonomous agents and multiagent systems (pp. 1280–1287). ACM: New York. es_ES
dc.relation.references Campos, J., López-Sánchez, M., Esteva, M. (2009). Assistance layer, a step forward in Multi-Agent Systems Coordination Support. In International joint conference on autonomous agents and multiagent systems (AAMAS) (pp. 1301–1302). es_ES
dc.relation.references Campos, J., Esteva, M., Lopez-Sanchez, M., Morales, J., Salamo, M. (2011). Organisational adaptation of multi-agent systems in a peer-to-peer scenario. Computing, 91, 169–215. es_ES
dc.relation.references Carvalho, G., Almeida, H., Gatti, M., Vinicius, G., Paes, R., Perkusich, A., Lucena, C. (2006). Dynamic law evolution in governance mechanisms for open multi-agent systems. In 2nd Workshop on software engineering for agent-oriented systems. es_ES
dc.relation.references Collis, J., Ndumu, D., Nwana, H., Lee, L. (1998). The zeus agent building tool-kit. BT Technology Journal, 16(3), 60–68. es_ES
dc.relation.references DeLoach, S., Oyenan, W., Matson, E. (2008). A capabilities-based model for adaptive organizations. Autonomous Agents and Multi-Agent Systems, 16, 13–56. es_ES
dc.relation.references Deokar, A.V., & El-Gayar, O.F. (2011). Decision-enabled dynamic process management for networked enterprises. Information Systems Frontiers, 13(5), 655–668. es_ES
dc.relation.references Dignum, V.(Ed.). (2009). Multi-agent systems: semantics and dynamics of organizational models. IGI Global. es_ES
dc.relation.references Dignum, F., & Vreeswijk, G. (2004). Advances in Agent Communication. In Towards a testbed for multi-party dialogues, lecture notes in computer science (vol. 2922, pp. 212–230). Berlin/Heidelberg: Springer. es_ES
dc.relation.references Dignum, V., Dignum, F., Sonenberg, L. (2004). Towards dynamic reorganization of agent societies. In Proceedings of workshop on coordination in emergent agent societies (pp. 22–27). es_ES
dc.relation.references Esparcia, S., & Argente, E. (2011). Formalizing virtual organizations. In 3rd International conference on agents and artificial intelligence (ICAART 2011) (vol. 2, pp. 84–93). INSTICC. es_ES
dc.relation.references Fogués, R.L., Alberola, J.M., Such, J.M., Espinosa, A., Garcia-Fornes, A. (2010). Towards dynamic agent interaction support in open multiagent systems. In Proceedings of the 13th International conference of the catalan association for artificial intelligence (vol. 220, pp. 89–98). es_ES
dc.relation.references Gaston, M.E., & desJardins, M. (2005). Agent-organized networks for dynamic team formation. In Proceedings of the 4th international joint conference on autonomous agents and multiagent systems (AAMAS05) (pp. 230–237). es_ES
dc.relation.references Guessoum, Z., Ziane, M., Faci, N. (2004). Monitoring and organizational-level adaptation of multi-agent systems. In Proceedings of AAMAS 2004, (pp. 514–521). ACM. es_ES
dc.relation.references Hoogendoorn, M., & Treur, J. (2006). An adaptive multi-agent organization model based on dynamic role allocation. In Proceedings of the IAT ’06 (pp. 474–481). es_ES
dc.relation.references Hübner, J.F., Sichman, J.S., Boissier, O. (2004). Using the MOISE+ for a cooperative framework of MAS reorganisation. In Proceedings of the 17th Brazilian symposium on artificial intelligence (SBIA04) (vol. 3171, pp. 506–515). es_ES
dc.relation.references Kaminka, G.A., Tambe, D.V.P.M., Pynadath, D.V., Tambe, M. (2002). Monitoring teams by overhearing: a multi-agent plan-recognition approach. Journal of Artificial Intelligence Research, 17. es_ES
dc.relation.references Kota, R., Gibbins, N., Jennings, N.R. (2009). Decentralised structural adaptation in agent organisations. In Organized adaptation in multi-agent systems (pp. 54–71). es_ES
dc.relation.references Kota, R., Gibbins, N., Jennings, N.R. (2012). Decentralised approaches for self-adaptation in agent organisations. In ACM transactions on autonomous and adaptive systems (pp. 1–28). es_ES
dc.relation.references Legras, F., & Tessier, C. (2003). Lotto: group formation by overhearing in large teams. In AAMAS ’03: Proceedings of the second international joint conference on autonomous agents and multiagent systems (pp. 425–432). New York: ACM. es_ES
dc.relation.references Legras Onera, F. (2002). Using overhearing for local group formation. In AAMAS ’02 workshop 7 teamwork and coalition formation (pp. 8–15). es_ES
dc.relation.references Li, C., & Li, L. (2012). Collaboration among mobile agents for efficient energy allocation in mobile grid. Information Systems Frontiers, 14(3), 711–723. es_ES
dc.relation.references Luck, M., McBurney, P., Shehory, O., Willmott, S. (2005). Agent technology: computing as interaction (A Roadmap for Agent Based Computing). University of Southampton. es_ES
dc.relation.references Malouf, R. (1995). Towards an analysis of multi-party discourse. http://citeseerx.ist.psu.edu/%5Cviewdoc/summary . doi: 10.1.1.8.4024 . es_ES
dc.relation.references Mathieu, P., Routier, J.C., Secq, Y. (2002a). Dynamic organization of multi-agent systems. In Proceedings of the 1st international joint conference on autonomous agents and multiagent systems (AAMAS02) (pp. 451–452). es_ES
dc.relation.references Mathieu, P., Routier, J.-C., Secq, Y. (2002b). Principles for dynamic multi-agent organizations. In Proceedings of the 5th Pacific Rim international workshop on multi agents: intelligent agents and multi-agent systems (PRIMA02) (pp. 109–122). es_ES
dc.relation.references Omicini, A., Ricci, A., Viroli, M. (2008). Artifacts in the A&A meta-model for multi-agent systems. Autonomous Agents and Multi-Agent Systems, 17(3), 432–456. es_ES
dc.relation.references Padgham, L., Winikoff, M., Poutakidis, D. (2005). Adding debugging support to the prometheus methodology. Engineering Applications of Artificial Intelligence, 18(2), 173–190. es_ES
dc.relation.references Platon, E., Sabouret, N., Honiden, S. (2006). Overhearing and direct interactions: point of view of an active environment. In Environments for multi-agent systems II (p. 121–138). Springer. es_ES
dc.relation.references Pokahr, A., & Braubach, L. (2007). Jadex tool guide - release 0.96. es_ES
dc.relation.references Rebollo, M., Giret, A., Argente, E., Carrascosa, C., Corchado, J.M., Fernandez, A., Julian, V. (2009). On the road to an abstract architecture for open virtual organizations. In Proceedings of the 10th international work-conference on Art. Neural Networks (pp. 642–650). es_ES
dc.relation.references Ringold, P., Alegria, J., Czaplewski, R., Mulder, B., Tolle, T., Burnett, K. (1996). Adaptive monitoring design for ecosystem management. Ecological Applications, 6(3), 745–747. es_ES
dc.relation.references Rossi, S., Rossi, S., Busetta, P. (2004). Towards monitoring of group interactions and social roles via overhearing. Proceedings of CIA-04, 3191, 47–61. es_ES
dc.relation.references Routier, J., Mathieu, P., Secq, Y. (2001). Dynamic skill learning: a support to agent evolution, pp. 25–32. es_ES
dc.relation.references Sanchez-Anguix, V., Espinosa, A., Hernandez, L., Garcia-Fornes, A. (2009). Mamsy: a management tool for multi-agent systems. In 7th International conference on practical applications of agents and multi-agent systems (PAAMS 2009) (pp. 130–139). es_ES
dc.relation.references Saunier, J., Balbo, F., Badeig, F. (2007). Environment as active support of interaction. In Environments for Multi-Agent Systems III (pp. 87–105). Springer. es_ES
dc.relation.references Serrano, E., Gómez-Sanz, J.J., Botía, J.A., Pavón, J. (2009). Intelligent data analysis applied to debug complex software systems. Neurocomputing, 72, 2785–2795. es_ES
dc.relation.references Tichý, P., & Slechta, P. (2006). Java Sniffer 2.7 User Manual. es_ES
dc.relation.references Vázquez-Salceda, J., Dignum, V., Dignum, F. (2005). Organizing multiagent systems. Autonomous Agents and Multi-Agent Systems, 11, 307–360. es_ES
dc.relation.references Wang, Z.G., & Liang, X.H. (2006). A graph based simulation of reorganization in multi-agent systems. es_ES
dc.relation.references Weyns, D., Haesevoets, R., Helleboogh, A., Holvoet, T., Joosen, W. (2010). The MACODO middleware for context-driven dynamic agent organizations. ACM Transaction on Autonomous and Adaptive Systems, 5, 3:1–3:28. es_ES
dc.relation.references Weyns, D., Omicini, A., Odell, J. (2007). Environment as a first class abstraction in multiagent systems. In Autonomous agents and multi-agent systems (pp. 5–30). es_ES


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