Abstract
| Original language | English |
|---|---|
| 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 |
|---|---|
| Abbreviated title | SUN |
| Country | Italy |
| City | Rome |
| Period | 25/10/17 → 25/10/17 |
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Learning fair play in industrial symbiotic relations. / Yazan, Devrim Murat; Yazdanpanah, Vahid ; Fraccascia, Luca .
Methods and tools for the implementation of industrial symbiosis: Best practices and business cases in Italy. ed. / Erika Mancuso; Valentina Fantin. ENEA, 2017. p. 49-50.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
TY - CHAP
T1 - Learning fair play in industrial symbiotic relations
AU - Yazan, Devrim Murat
AU - Yazdanpanah, Vahid
AU - Fraccascia, Luca
PY - 2017/10/25
Y1 - 2017/10/25
N2 - 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.
AB - 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.
M3 - Chapter
SN - 978-88-8286-358-6
SP - 49
EP - 50
BT - Methods and tools for the implementation of industrial symbiosis
A2 - Mancuso, Erika
A2 - Fantin, Valentina
PB - ENEA
ER -