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Devrim Murat Yazan

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

4 papers
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4

EUMAS Conference 2020 Conference Paper

Multiagent Task Coordination as Task Allocation Plus Task Responsibility

  • Vahid Yazdanpanah
  • Mehdi Dastani
  • Shaheen Fatima
  • Nicholas R. Jennings
  • Devrim Murat Yazan
  • W. Henk M. Zijm

Abstract In this work, we present a dynamic Task Coordination framework ( ) for multiagent systems. Here task coordination refers to a twofold problem where an exogenously imposed state of affairs should be satisfied by a multiagent system. To address this problem the involved agents or agent groups need to be assigned tasks to fulfill (task allocation) and the behavior of these agents needs to be monitored to evaluate whether their tasks are fulfilled so that responsibility for dismissing tasks can be determined (task responsibility). We believe the allocation of tasks should regard both the strategic abilities of agents and their epistemic limitations. To date, however, existing work on the application of logical strategic reasoning for task allocation assumes perfect information for agents (dismissing imperfect information settings) and allocates tasks to individual agents (dismissing task allocation to agent groups). In, we address this gap by modeling task allocation using imperfect information semantics for strategic reasoning and integrate it with a notion of task responsibility. We formally verify properties of: on validity as well as stability of task allocations and fairness as well as non-monotonicity of task responsibilities.

EAAI Journal 2019 Journal Article

FISOF: A formal industrial symbiosis opportunity filtering method

  • Vahid Yazdanpanah
  • Devrim Murat Yazan
  • W. Henk M. Zijm

Industrial Symbiotic Relations (ISRs), as bilaterally cooperative industrial practices, are emerging relations for exchanging reusable resources among production processes of originally distinct firms. In ISRs, firms can enjoy mutual environmental, social, and economic benefits. Due to similarities in aim and functionality of ISRs and the concept of Circular Economy (CE), it is expected that ISRs play a major role in implementing CE in the context of industrial production. However, industrial firms generally lack analytical tools tailored to support their decisions whether – and based on what priority – to negotiate a particular ISR opportunity, selected from a set of potential alternatives. This question is the main focus of the decision support method developed in this paper, that we call the “industrial symbiosis opportunity filtering” problem. The key economic factor that influences the decision of firms to reject or negotiate an ISR in real-life scenarios, is the total cost-reduction/benefit that they may enjoy in case the ISR would be implemented. In case they evaluate that a sufficient benefit is obtainable, they see the opportunity as a promising one and pursue to contract negotiations. Following this observation, we take an operations-oriented stance and provide a Formal Industrial Symbiosis Opportunity Filtering method ( FISOF in short) that: (1) takes into account the key operational aspects of ISRs, (2) formalizes ISRs as industrial institutions using semantic structures adopted from multi-agent systems literature, and (3) enables evaluating ISR opportunities using implementable decision support algorithms. In practice, the FISOF method and its algorithms can be integrated into industrial symbiosis frameworks to support firms in the process of ISR evaluation. We also illustrate how information sharing enables the use of collective strategies to overcome epistemic limitations and provide a decision support algorithm that is able to capture all the mutually promising ISR implementations.

AAMAS Conference 2018 Conference Paper

Industrial Symbiotic Networks as Coordinated Games

  • Vahid Yazdanpanah
  • Devrim Murat Yazan
  • Henk Zijm

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.

EUMAS Conference 2016 Conference Paper

Normative Industrial Symbiotic Networks: A Position Paper

  • Vahid Yazdanpanah
  • Devrim Murat Yazan
  • W. Henk M. Zijm

Abstract In this paper, we introduce a normative, multi-agent perspective on the field of industrial symbiosis research and propose normative institutions as a key technology for operating Industrial Symbiotic Networks (ISNs), both as a framework to represent and reason about dynamic behaviour of ISNs and as a platform for design and maintenance of such networks. We discuss the requirements of normative agent-based frameworks for ISNs with respect to agent interactions, joint commitments, and the organisation to monitor interactions in ISNs.