95 research outputs found
Industrial Symbiotic Relations as Cooperative Games
In this paper, we introduce a game-theoretical formulation for a specific
form of collaborative industrial relations called "Industrial Symbiotic
Relation (ISR) games" and provide a formal framework to model, verify, and
support collaboration decisions in this new class of two-person operational
games. ISR games are formalized as cooperative cost-allocation games with the
aim to allocate the total ISR-related operational cost to involved industrial
firms in a fair and stable manner by taking into account their contribution to
the total traditional ISR-related cost. We tailor two types of allocation
mechanisms using which firms can implement cost allocations that result in a
collaboration that satisfies the fairness and stability properties. Moreover,
while industries receive a particular ISR proposal, our introduced methodology
is applicable as a managerial decision support to systematically verify the
quality of the ISR in question. This is achievable by analyzing if the
implemented allocation mechanism is a stable/fair allocation.Comment: Presented at the 7th International Conference on Industrial
Engineering and Systems Management (IESM-2017), October 11--13, 2017,
Saarbr\"ucken, German
Learning fair play in industrial symbiotic relationships
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
Industrial Symbiotic Networks as Coordinated Games
We present an approach for implementing a specific form of collaborative
industrial practices-called Industrial Symbiotic Networks (ISNs)-as MC-Net
cooperative games and address the so called ISN implementation problem. This
is, the characteristics of ISNs may lead to inapplicability of fair and stable
benefit allocation methods even if the collaboration is a collectively desired
one. Inspired by realistic ISN scenarios and the literature on normative
multi-agent systems, we consider regulations and normative socioeconomic
policies as two elements that in combination with ISN games resolve the
situation and result in the concept of coordinated ISNs.Comment: 3 pages, Proc. of the 17th International Conference on Autonomous
Agents and Multiagent Systems (AAMAS 2018
Quantified Degrees of Group Responsibility (Extended Abstract)
This paper builds on an existing notion of group responsibility and proposes
two ways to define the degree of group responsibility: structural and
functional degrees of responsibility. These notions measure the potential
responsibilities of (agent) groups for avoiding a state of affairs. According
to these notions, a degree of responsibility for a state of affairs can be
assigned to a group of agents if, and to the extent that, the group has the
potential to preclude the state of affairs.Comment: Presented in the 27th Belgian-Netherlands Conference on Artificial
Intelligence (BNAIC 2015), Hasselt, Belgiu
Resource inventory for fostering industrial symbiosis practices
In this paper, we investigate the potential environmental benefits obtainable in Industrial Symbiotic Networks (ISNs) in case firms stock wastes when the demand is lower than supply. We design multiagent-based simulations to model the spontaneous emergence and operations of ISNs over time where firms are involved in substitution-based symbiotic relationships. In each simulation, we compute: 1) the amount of resources saved with respect to the amount of produced wastes; and 2) the amount of resources not saved because of the lack of inventory compared to the produced amounts. Results show that waste stocking could be a useful strategy to reduce the negative effects of the waste market dynamicity on the match between demand and suppl
The inverse limit of GIT quotients of Grassmannians by the maximal torus
There are finitely many GIT quotients of \u1d43a(3 \u1d45b) by maximal torus and between each two there is a birational map. These GIT quotients and the flips between them form an inverse system. This thesis describes this inverse system first and then, describes the inverse limit of this inverse system as a moduli space. An open set in this scheme represents the functor of arrangements of lines in planes. We show how to enrich this functor such that it is represented by the above inverse limit
- …