Role-Based Knowledge Structures in Complex Adaptive Logistics Systems A Methodology for Building an Autonomous Cooperation-based Simulation Model

نویسندگان

  • Michael Hülsmann
  • Anne Schwientek
  • Philip Cordes
  • Bernd Scholz-Reiter
  • Christian Zabel
چکیده

The goal of this paper is to provide a fundamental methodical approach for identifying actors in Complex Adaptive Logistics Systems to deduce knowledge that can be implemented into the decision structures of intelligent logistics objects. This serves as a basis for further simulation-based studies regarding the efficiency of the usage of autonomous cooperation-based technologies in logistics services. For this purpose, role theory is applied and connected to knowledge engineering, and the resulting methodology is critically discussed regarding its contributions and limitations. Keywordsrole theory; complex adaptive logistics systems; knowledge engineering; multi agent-based models

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تاریخ انتشار 2004