Learning fair play in industrial symbiotic relations

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

49 Downloads (Pure)

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 languageEnglish
Title of host publicationMethods and tools for the implementation of industrial symbiosis
Subtitle of host publicationBest practices and business cases in Italy
EditorsErika Mancuso, Valentina Fantin
PublisherENEA
Pages49-50
ISBN (Print)978-88-8286-358-6
Publication statusPublished - 25 Oct 2017
Event1st Symbiosis User Network Conference 2017 - Rome, Italy
Duration: 25 Oct 201725 Oct 2017

Conference

Conference1st Symbiosis User Network Conference 2017
Abbreviated titleSUN
CountryItaly
CityRome
Period25/10/1725/10/17

Fingerprint

Dive into the research topics of 'Learning fair play in industrial symbiotic relations'. Together they form a unique fingerprint.

Cite this