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A New Organization Model for Self-Organizing Multi-Agent Systems Based on Self-Adaptation Features

Received: 30 September 2014    Accepted: 5 October 2014    Published: 17 October 2014
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Abstract

Complexity of information technology systems is increasing continually. A very good solution would be using agents in implementing and controlling these systems. Multi-Agent Systems are good examples of using agents for system control and implementation. On the other hand, Multi-Agent systems need to be controlled and managed too. Using organizations is one of the best solutions. Many research studies have been done in this field. In this paper we will try to introduce, explain, and compare some related works. We will extract their pros and cons. For the weaknesses of this research studies, we have proposed some solutions. In this paper we propose our model of organization, which implements Self-Adaptation features using Self-Organization and can improve extracted problems of existing models. Altogether, we have tried to analyze and compare some of main proposed models for Multi-Agent systems’ organization. Finally we have proposed a model to improve Self-Organized organizations of Multi-Agent systems.

Published in International Journal of Intelligent Information Systems (Volume 3, Issue 6-1)

This article belongs to the Special Issue Research and Practices in Information Systems and Technologies in Developing Countries

DOI 10.11648/j.ijiis.s.2014030601.13
Page(s) 15-22
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Multi-Agent Systems, Organization, Organization Model, Organization in Multi-Agent Systems, Self-Organization, Self-Adaptation

References
[1] J. Ferber and Gutknecht, “A meta-model for the analysis and design of organizations in multi-agent systems”, International Conference on Multi agent systems, pp. 128-135, 1998, France.
[2] B. Horling and V. Lesser, “A Survey of Multi-Agent Organizational Paradigms”, The Knowledge Engineering Review, Vol. 19, Iss. 4, 2004, pp. 281-316.
[3] K. Y. Rafi, A. Farahani, and E. Nazemi, “An organizational model for autonomic intelligent distributed systems”, 2nd World Conference on Information Technology, pp. 624-630, 2012, Turkey.
[4] J. Ferber, O. Gutknecht, and F. Michel, “From Agents to Organizations: an Organizational View of Multi-Agent Systems”, 4th InternationalWorkshop, AOSE, pp. 214-230, 2004, Australia.
[5] R. Kota, N. Gibbins, and N. R. Jennings, “Self-Organising Agent Organisations”, The 8th International Conference on Autonomous Agents and Multiagent Systems, pp. 797-804, 2009, USA.
[6] D. Weyns, R. Haesevoets, A. Helleboogh, T. Holvoet, and W. Joosen, “The MACODO Middleware for Context-Driven Dynamic Agent Organizations”, ACM Transactions on Autonomous and Adaptive Systems (TAAS), Vol. 5, Iss. 1, 2010, pp. 132-160.
[7] V. Dignum, F. Dignum, L. Sonenberg, “Towards Dynamic Reorganization of Agent Societies”, Workshop on Coordination in Emergent Agent Societies, pp. 32-39, 2004, Spain
[8] An architectural blueprint for autonomic computing, IBM Group, 2003.
[9] W. Truszkowski, M. Hinchey, J. Rash, and C. Rouff, “NASA’s Swarm Missions: The Challenge of Building Autonomous Software”, IT Professionals, Vol. 6, Iss. 5, 2004, pp. 47-52.
[10] P. Mathieu, J. C. Routier, and Y. Secq, “Dynamic Organization of MultiAgent Systems”, second international joint conference on Autonomous agents and multiagent systems, pp. 451-452, 2002, USA.
[11] M. Kolp, P. Giorgini, and J. Mylopoulos, “Multi-Agent Architectures as Organizational Structures”, Autonomous Agents and Multi-Agent Systems, Vol. 13, Iss. 1, pp. 3-25, 2006
[12] D. Garlan and B. Schmerl, “Model-based adaptation for self-healing systems,” Proceedings of the first workshop on Self-healing systems - WOSS ’02, p. 27, 2002.
[13] S. Cheng, D. Garlan, and B. Schmerl, “Software Architecture-based Adaptation for Pervasive Systems” International Conference on Architecture of Computing Systems Karlsruhe, pp. 67-82, Germany, April 8–12, 2002
[14] M. Risoldi, J. L. Fernandez-Marquez, G. Di Marzo Serugendo, "Resilience Framework for self-organising systems", Adaptive, Dynamic, and Resilient Systems, G. Cabri and N. Suri (Eds), Taylor and Francis, 2013.
[15] G. Di Marzo Serugendo, J. L. Fernandez-Marquez, "Self-Organising Services", Int. Conf. on Self-Adaptive and Self-Organizing System, Philadelphia, USA, 2013.
[16] G. Stevenson, D. Pianini, S. Montagna, M. Viroli, J.Ye, S. Dobson, "Combining self-organisation, context-awareness and semantic reasoning: the case of resource discovery in opportunistic networks", Proceedings of the 28th Annual ACM Symposium on Applied Computing, Coimbra (POR) March, 2013.
Cite This Article
  • APA Style

    Amin Rahmanzadeh, Ali Farahani, Eslam Nazemi. (2014). A New Organization Model for Self-Organizing Multi-Agent Systems Based on Self-Adaptation Features. International Journal of Intelligent Information Systems, 3(6-1), 15-22. https://doi.org/10.11648/j.ijiis.s.2014030601.13

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    ACS Style

    Amin Rahmanzadeh; Ali Farahani; Eslam Nazemi. A New Organization Model for Self-Organizing Multi-Agent Systems Based on Self-Adaptation Features. Int. J. Intell. Inf. Syst. 2014, 3(6-1), 15-22. doi: 10.11648/j.ijiis.s.2014030601.13

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    AMA Style

    Amin Rahmanzadeh, Ali Farahani, Eslam Nazemi. A New Organization Model for Self-Organizing Multi-Agent Systems Based on Self-Adaptation Features. Int J Intell Inf Syst. 2014;3(6-1):15-22. doi: 10.11648/j.ijiis.s.2014030601.13

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  • @article{10.11648/j.ijiis.s.2014030601.13,
      author = {Amin Rahmanzadeh and Ali Farahani and Eslam Nazemi},
      title = {A New Organization Model for Self-Organizing Multi-Agent Systems Based on Self-Adaptation Features},
      journal = {International Journal of Intelligent Information Systems},
      volume = {3},
      number = {6-1},
      pages = {15-22},
      doi = {10.11648/j.ijiis.s.2014030601.13},
      url = {https://doi.org/10.11648/j.ijiis.s.2014030601.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.s.2014030601.13},
      abstract = {Complexity of information technology systems is increasing continually. A very good solution would be using agents in implementing and controlling these systems. Multi-Agent Systems are good examples of using agents for system control and implementation. On the other hand, Multi-Agent systems need to be controlled and managed too. Using organizations is one of the best solutions. Many research studies have been done in this field. In this paper we will try to introduce, explain, and compare some related works. We will extract their pros and cons. For the weaknesses of this research studies, we have proposed some solutions. In this paper we propose our model of organization, which implements Self-Adaptation features using Self-Organization and can improve extracted problems of existing models. Altogether, we have tried to analyze and compare some of main proposed models for Multi-Agent systems’ organization. Finally we have proposed a model to improve Self-Organized organizations of Multi-Agent systems.},
     year = {2014}
    }
    

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    T1  - A New Organization Model for Self-Organizing Multi-Agent Systems Based on Self-Adaptation Features
    AU  - Amin Rahmanzadeh
    AU  - Ali Farahani
    AU  - Eslam Nazemi
    Y1  - 2014/10/17
    PY  - 2014
    N1  - https://doi.org/10.11648/j.ijiis.s.2014030601.13
    DO  - 10.11648/j.ijiis.s.2014030601.13
    T2  - International Journal of Intelligent Information Systems
    JF  - International Journal of Intelligent Information Systems
    JO  - International Journal of Intelligent Information Systems
    SP  - 15
    EP  - 22
    PB  - Science Publishing Group
    SN  - 2328-7683
    UR  - https://doi.org/10.11648/j.ijiis.s.2014030601.13
    AB  - Complexity of information technology systems is increasing continually. A very good solution would be using agents in implementing and controlling these systems. Multi-Agent Systems are good examples of using agents for system control and implementation. On the other hand, Multi-Agent systems need to be controlled and managed too. Using organizations is one of the best solutions. Many research studies have been done in this field. In this paper we will try to introduce, explain, and compare some related works. We will extract their pros and cons. For the weaknesses of this research studies, we have proposed some solutions. In this paper we propose our model of organization, which implements Self-Adaptation features using Self-Organization and can improve extracted problems of existing models. Altogether, we have tried to analyze and compare some of main proposed models for Multi-Agent systems’ organization. Finally we have proposed a model to improve Self-Organized organizations of Multi-Agent systems.
    VL  - 3
    IS  - 6-1
    ER  - 

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Author Information
  • Self-* Laboratory, Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, Iran

  • Self-* Laboratory, Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, Iran

  • Self-* Laboratory, Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, Iran

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