Learning fair play in industrial symbiotic relations

作者: Devrim Murat Yazan , Luca Fraccascia , Vahid Yazdanpanah

DOI:

关键词: Knowledge managementStrategy developmentConcept learningComputer scienceTest (assessment)Decision support systemWork (electrical)

摘要: In this paper, we provide practical decision support to managers in firms involved Industrial Symbiotic Relations (ISRs) terms of strategy development and test the hypothesis that long-term, playing a fair for sharing obtainable ISR-related benefits is dominant. We employ multi-agent-based simulations model industrial decision-makers as interacting agents observe their history cooperation decisions ISRs. The are able to: learn from past, deviate relations which partner plays unfair, change reach higher long-term benefits. Results show long-run, makers play addition managerial developing long-lasting ISRs, our work introduces concept learning notion links micromotives ISRs macrobehavior.

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