Transaction Cost Allocation in Industrial Symbiosis: A Multiagent Systems Approach

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This paper discusses the dynamics of Transaction Cost (TC) in Industrial Symbiosis Institutions (ISI) and provides a fair and stable mechanism for TC allocation among the involved firms in a given ISI. In principle, industrial symbiosis, as an implementation of the circular economy paradigm in the context of industrial relation, is a practice aiming at reducing the material/energy footprint of the firms. The well-engineered form of this practice is proved to decrease the transaction costs at a collective level. This can be achieved using information systems for identifying potential synergies, evaluating mutually beneficial ones, implementing the contracts, and governing the behavior of the established relations. Then the question is: “how to distribute the costs for maintaining such an information system in a fair and stable manner?” We see such a cost as a collective transaction cost and employ an integrated method rooted in cooperative game theory and multiagent systems research to develop a fair and stable allocation mechanism for it. The contribution is twofold: in developing computational multiagent methods for capturing the dynamics of transaction costs in industrial symbiosis and in presenting a novel game-theoretic mechanism for its allocation in industrial symbiosis institutions.

Original languageEnglish
Pages (from-to)324-338
Number of pages15
JournalBelgian/Netherlands Artificial Intelligence Conference
Publication statusPublished - 2020
Event32nd Benelux Conference on Artificial Intelligence, BNAIC 2020 and 29th Annual Belgian-Dutch Conference on Machine Learning, BeneLearn 2020 - Virtual, Online, Netherlands
Duration: 19 Nov 202020 Nov 2020


  • Agent-Based Computational Economics
  • Applied AI
  • Industrial Symbiosis
  • Multiagent Systems
  • Practical Applications of Multiagent Techniques


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