A comprehensive view of agent-oriented patterns

  • Authors:
  • Ayodele Oluyomi;Shanika Karunasekera;Leon Sterling

  • Affiliations:
  • Department of Computer Science and Software Engineering, The University of Melbourne, Parkville, Australia 3010;Department of Computer Science and Software Engineering, The University of Melbourne, Parkville, Australia 3010;Department of Computer Science and Software Engineering, The University of Melbourne, Parkville, Australia 3010

  • Venue:
  • Autonomous Agents and Multi-Agent Systems
  • Year:
  • 2007

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Abstract

This paper presents a comprehensive framework for classifying, analyzing and describing agent-oriented software patterns. We present a two dimensional scheme for classifying agent-oriented patterns. We define agent-oriented pattern attributes and use these attributes in a process for analyzing and placing agent-oriented patterns within the classification scheme. Using the proposed classification scheme, we classify 28 patterns written by a variety of agent researchers, chosen from almost 100 patterns which we have studied.