Abstract
In this paper, we provide practical decision support to managers in firms involved in Industrial Symbiotic Relations (ISRs) in terms of strategy development and test the hypothesis that in the long-term, playing a fair strategy for sharing obtainable ISR-related benefits is dominant. We employ multi-agent-based simulations and model industrial decision-makers as interacting agents that observe their history of cooperation decisions in ISRs. The agents are able to: learn from their past, deviate from relations in which their partner plays unfair, and change their strategy to reach higher long-term benefits. Results show that in a long-run, industrial decision makers learn to play fair in ISRs. In addition to managerial support for developing long-lasting ISRs, our work introduces the concept of learning as a notion that links the micromotives in ISRs to their macrobehavior.
Original language | English |
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Title of host publication | Methods and tools for the implementation of industrial symbiosis |
Subtitle of host publication | Best practices and business cases in Italy |
Editors | Erika Mancuso, Valentina Fantin |
Publisher | ENEA |
Pages | 49-50 |
ISBN (Print) | 978-88-8286-358-6 |
Publication status | Published - 25 Oct 2017 |
Event | 1st Symbiosis User Network Conference 2017 - Rome, Italy Duration: 25 Oct 2017 → 25 Oct 2017 |
Conference
Conference | 1st Symbiosis User Network Conference 2017 |
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Abbreviated title | SUN |
Country/Territory | Italy |
City | Rome |
Period | 25/10/17 → 25/10/17 |