TY - JOUR
T1 - Transaction Cost Allocation in Industrial Symbiosis
T2 - 32nd Benelux Conference on Artificial Intelligence, BNAIC 2020 and 29th Annual Belgian-Dutch Conference on Machine Learning, BeneLearn 2020
AU - Yazdanpanah, Vahid
AU - Yazan, Devrim M.
AU - Zijm, W. Henk M.
N1 - Funding Information:
Acknowledgements. SHAREBOX [27], the project leading to this work, has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 680843.
Publisher Copyright:
© 2020 University of Groningen. All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Agent-Based Computational Economics
KW - Applied AI
KW - Industrial Symbiosis
KW - Multiagent Systems
KW - Practical Applications of Multiagent Techniques
UR - http://www.scopus.com/inward/record.url?scp=85137140613&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85137140613
SP - 324
EP - 338
JO - Belgian/Netherlands Artificial Intelligence Conference
JF - Belgian/Netherlands Artificial Intelligence Conference
SN - 1568-7805
Y2 - 19 November 2020 through 20 November 2020
ER -