A TEAM-BASED ORGANIZATIONAL MODEL FOR ADAPTIVE MULTI-AGENT SYSTEMS

Afsaneh Fatemi, Kamran Zamanifar, Naser Nemat bakhsh, Omid Askari

Abstract

Proper organizational modelling is a challenging issue in complex cooperative multi-agent systems. In this paper, we propose a team-based multi-agent organizational model, based on the Schwaninger's model of intelligent human organizations. It provides an integrative framework to rapid task handling, the main effectiveness requirement in many applications. Adaptation via reorganization makes the model suitable for dynamic, uncertain environments. Fast initial team formation, greedy capability-based coalition formation, and using the nearest neighbours’ resources improve utility compared to the identified hierarchical organizational models.

References

  1. Boella, G. and Van Der Torre, L. (2006). Coordination and Organization: Definitions, Examples and Future Research Directions. Electronic Notes in Theoretical Computer Science, 3-20.
  2. Carley, K. and Gasser, L.(1999). Computational organization theory. In Weiss, G.(Ed.), Multi-Agent Systems, A Modern Approach to Distributed Artificial Intelligence (pp. 200-330): MIT-press.
  3. DeLoach, S., and Matson. E. (2004). An Organizational Model for Designing Adaptive Multiagent Systems. In Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-04). San Jose, CA.: AAAI Press.
  4. Dignum, V., Dignum, F., and Sonenberg L. (2004). Towards dynamic reorganization of agent societies. In Proceedings of Workshop on Coordination in Emergent Agent Societies (pp. 22-27).
  5. Ghijsen, M.; Jansweijer, W. N. H., and Wielinga. B. J. (2009). Adaptive Hierarchical Multi-Agent Organizations. In Babuska, R. and Groen, F.C.A.(Eds.) Interactive Collaborative Information Systems. in press.
  6. Horling, B. and Lesser, V. (2005). A Survey of MultiAgent Organizational Paradigms. The Knowledge Engineering Review, 19(4), 281-316.
  7. Kirn, S. and Gasser, L. (1998). Organizational Approaches to Coordination in Multi-Agent Systems, Technical report, IImenau Technical University, Germany.
  8. Kolp, M., Giorgini, P., and Mylopolos, J. (2006). MultiAgent Architectures as Organizational Structures. Autonomous Agents and Multi-Agent Systems, 13(1), 3-25.
  9. Kota, R., Gibbins, N., and Jennings, N. (2009). Decentralized Structured Adaptation in Agent Organizations. In: Organized Adaptation in MultiAgent Systems. Lecture Notes in Computer Science, 5368, 54-71.
  10. Martin, C. and Barber, K. S. (2006). Adaptive Decision Making Frameworks for Dynamic Multi-Agent Organizational Change. Autonomous Agents and Multiagent Systems, 13, 391-428.
  11. Mintzberg, H. (1993). Structures in Five: Designing Effective Organizations. Engelwood Cliffs, N.J.:Prentice Hall.
  12. Rosenfeld, A., Kaminka, G., Kraus, S., and Shehory, O. (2008). A Study of Mechanisms for Improving Robotic Group Performance. Artificial Intelligence, 172, 633-655.
  13. Schwaninger, M. (2009). Intelligent Organizations: Powerful Models for Systemic Management (2nd ed.): Springer.
Download


Paper Citation


in Harvard Style

Fatemi A., Zamanifar K., Nemat bakhsh N. and Askari O. (2011). A TEAM-BASED ORGANIZATIONAL MODEL FOR ADAPTIVE MULTI-AGENT SYSTEMS . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8425-41-6, pages 469-472. DOI: 10.5220/0003190604690472


in Bibtex Style

@conference{icaart11,
author={Afsaneh Fatemi and Kamran Zamanifar and Naser Nemat bakhsh and Omid Askari},
title={A TEAM-BASED ORGANIZATIONAL MODEL FOR ADAPTIVE MULTI-AGENT SYSTEMS },
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2011},
pages={469-472},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003190604690472},
isbn={978-989-8425-41-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A TEAM-BASED ORGANIZATIONAL MODEL FOR ADAPTIVE MULTI-AGENT SYSTEMS
SN - 978-989-8425-41-6
AU - Fatemi A.
AU - Zamanifar K.
AU - Nemat bakhsh N.
AU - Askari O.
PY - 2011
SP - 469
EP - 472
DO - 10.5220/0003190604690472