Engineering organization-based multiagent systems

  • Authors:
  • Scott A. DeLoach

  • Affiliations:
  • Multiagent and Cooperative Robotics Laboratory, Department of Computing and Information Sciences, Kansas State University, Manhattan, Kansas

  • Venue:
  • Software Engineering for Multi-Agent Systems IV
  • Year:
  • 2006

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Abstract

In this paper, we examine the Multiagent Systems Engineering (MaSE) methodology and its applicability to developing organization-based multiagent systems, which are especially relevant to context aware systems. We discuss the inherent shortcomings of MaSE and then present our approach to modeling the concepts required for organizations including goals, roles, agents, capabilities, and the assignment of agents to roles. Finally, we extend MaSE to allow it to overcome its inherent shortcomings and capture the organizational concepts defined in our organization metamodel.