Exploiting reusable organizations to reduce complexity in multiagent system design

  • Authors:
  • Walamitien H. Oyenan;Scott A. DeLoach;Gurdip Singh

  • Affiliations:
  • Multiagent and Cooperative Robotics Laboratory, Kansas State University 234 Nichols Halls, Manhattan Kansas;Multiagent and Cooperative Robotics Laboratory, Kansas State University 234 Nichols Halls, Manhattan Kansas;Multiagent and Cooperative Robotics Laboratory, Kansas State University 234 Nichols Halls, Manhattan Kansas

  • Venue:
  • AOSE'10 Proceedings of the 10th international conference on Agent-oriented software engineering
  • Year:
  • 2009

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Abstract

Organization-based Multiagent Systems are a promising way to develop complex multiagent systems. However, it is still difficult to create large multiagent organizations from scratch. Multiagent organizations created using current AOSE methodologies tend to produce ad-hoc designs that work well for small applications but are not easily reused. In this paper, we provide a conceptual framework for designing reusable multiagent organizations. It allows us to simplify multiagent organization designs and facilitate their reuse. We formalize the concepts required to design reusable organization-based multiagent services and show how we can compose those services to create larger, more complex multiagent systems. We demonstrate the validity of our approach by designing an application from the cooperative robotics field.