Supporting agent-oriented designs with models of macroscopic system behavior

  • Authors:
  • Jan Sudeikat;Wolfgang Renz

  • Affiliations:
  • Hamburg University of Applied Sciences, Hamburg, Germany;Hamburg University of Applied Sciences, Hamburg, Germany

  • Venue:
  • Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
  • Year:
  • 2009

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Abstract

The purposeful development of MAS, particularly when addressing complex, decentralized application architectures, demands the ability to anticipate the effects of agent coaction. Sophisticated design and modeling tools support the development of individual agent models and their arrangement in organizational structures. However, only limited support is available to pre-estimate the qualitative, macroscopic system properties that rise from agent (inter-)action. Here, we propose a systemic modeling level that allows to describe the qualitative macroscopic dynamics of MAS by modeling the impact of exhibiting agent behaviors on parts of the agent population as well as environment elements. We discuss the systematic derivation of these models from established design models/notations and outline how these models can be used to anticipate the qualitative dynamics of MAS as well as to validate MAS implementations.