An Introduction to Engineering Multiagent Industrial Symbiosis Systems: Potentials and Challenges

Vahid Yazdanpanah, Devrim Murat Yazan, Jos van Hillegersberg, Mehdi Dastani

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

Multiagent Systems (MAS) research reached a maturity to be confidently applied to real-life complex problems. Successful application of MAS methods for behavior modeling, strategic reasoning, and decentralized governance, encouraged us to focus on applicability of MAS techniques in a class of industrial systems and to elaborate on potentials and challenges for method integration/contextualization. We direct attention towards a form of industrial practices called Industrial Symbiosis Systems (ISS) as a highly dynamic domain of application for MAS techniques. In ISS, firms aim to reduce their material and energy footprint by circulating reusable resources among the members. To enable systematic reasoning about ISS behavior and support firms’ (as well as ISS designers’) decisions, we see the opportunity for marrying industrial engineering with engineering multiagent systems. This enables introducing (1) representation frameworks to reason about dynamics of ISS, (2) operational semantics to develop computational models for ISS, and (3) coordination mechanisms to enforce desirable ISS behaviors. We argue for applicability and expressiveness of resource-bounded formalisms and norm-aware mechanisms for the design and deployment of ISS practices. In this proposal, we elaborate on different dimensions of ISS, present a methodological foundation for ISS development, and finally discuss open problems.
Original languageEnglish
Title of host publicationPre-proceedings of the 7th International Workshop on Engineering Multi-Agent Systems (EMAS 2019), 13th-14th May 2019, Montreal, Canada
EditorsRafael H. Bordini, Louise A. Dennis, Yves Lespérance
Publication statusPublished - 13 May 2019
Event7th International Workshop on Engineering Multi-Agent Systems (EMAS 2019) - Montreal, Canada
Duration: 13 May 201914 May 2019
Conference number: 7
http://cgi.csc.liv.ac.uk/~lad/emas2019/index.html

Workshop

Workshop7th International Workshop on Engineering Multi-Agent Systems (EMAS 2019)
Abbreviated titleEMAS 2019
CountryCanada
CityMontreal
Period13/05/1914/05/19
Internet address

Fingerprint

Multi agent systems
Industrial engineering
Semantics
Industrial symbiosis
Multi-agent systems

Keywords

  • Multiagent Systems
  • Resource-Bounded Systems
  • Industrial Symbiosis
  • Normative Semantics
  • Coordination and Control

Cite this

Yazdanpanah, V., Yazan, D. M., van Hillegersberg, J., & Dastani, M. (2019). An Introduction to Engineering Multiagent Industrial Symbiosis Systems: Potentials and Challenges. In R. H. Bordini, L. A. Dennis, & Y. Lespérance (Eds.), Pre-proceedings of the 7th International Workshop on Engineering Multi-Agent Systems (EMAS 2019), 13th-14th May 2019, Montreal, Canada
Yazdanpanah, Vahid ; Yazan, Devrim Murat ; van Hillegersberg, Jos ; Dastani, Mehdi. / An Introduction to Engineering Multiagent Industrial Symbiosis Systems: Potentials and Challenges. Pre-proceedings of the 7th International Workshop on Engineering Multi-Agent Systems (EMAS 2019), 13th-14th May 2019, Montreal, Canada. editor / Rafael H. Bordini ; Louise A. Dennis ; Yves Lespérance. 2019.
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title = "An Introduction to Engineering Multiagent Industrial Symbiosis Systems: Potentials and Challenges",
abstract = "Multiagent Systems (MAS) research reached a maturity to be confidently applied to real-life complex problems. Successful application of MAS methods for behavior modeling, strategic reasoning, and decentralized governance, encouraged us to focus on applicability of MAS techniques in a class of industrial systems and to elaborate on potentials and challenges for method integration/contextualization. We direct attention towards a form of industrial practices called Industrial Symbiosis Systems (ISS) as a highly dynamic domain of application for MAS techniques. In ISS, firms aim to reduce their material and energy footprint by circulating reusable resources among the members. To enable systematic reasoning about ISS behavior and support firms’ (as well as ISS designers’) decisions, we see the opportunity for marrying industrial engineering with engineering multiagent systems. This enables introducing (1) representation frameworks to reason about dynamics of ISS, (2) operational semantics to develop computational models for ISS, and (3) coordination mechanisms to enforce desirable ISS behaviors. We argue for applicability and expressiveness of resource-bounded formalisms and norm-aware mechanisms for the design and deployment of ISS practices. In this proposal, we elaborate on different dimensions of ISS, present a methodological foundation for ISS development, and finally discuss open problems.",
keywords = "Multiagent Systems, Resource-Bounded Systems, Industrial Symbiosis, Normative Semantics, Coordination and Control",
author = "Vahid Yazdanpanah and Yazan, {Devrim Murat} and {van Hillegersberg}, Jos and Mehdi Dastani",
year = "2019",
month = "5",
day = "13",
language = "English",
editor = "Bordini, {Rafael H.} and Dennis, {Louise A.} and Yves Lesp{\'e}rance",
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Yazdanpanah, V, Yazan, DM, van Hillegersberg, J & Dastani, M 2019, An Introduction to Engineering Multiagent Industrial Symbiosis Systems: Potentials and Challenges. in RH Bordini, LA Dennis & Y Lespérance (eds), Pre-proceedings of the 7th International Workshop on Engineering Multi-Agent Systems (EMAS 2019), 13th-14th May 2019, Montreal, Canada. 7th International Workshop on Engineering Multi-Agent Systems (EMAS 2019), Montreal, Canada, 13/05/19.

An Introduction to Engineering Multiagent Industrial Symbiosis Systems: Potentials and Challenges. / Yazdanpanah, Vahid ; Yazan, Devrim Murat; van Hillegersberg, Jos ; Dastani, Mehdi.

Pre-proceedings of the 7th International Workshop on Engineering Multi-Agent Systems (EMAS 2019), 13th-14th May 2019, Montreal, Canada. ed. / Rafael H. Bordini; Louise A. Dennis; Yves Lespérance. 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AB - Multiagent Systems (MAS) research reached a maturity to be confidently applied to real-life complex problems. Successful application of MAS methods for behavior modeling, strategic reasoning, and decentralized governance, encouraged us to focus on applicability of MAS techniques in a class of industrial systems and to elaborate on potentials and challenges for method integration/contextualization. We direct attention towards a form of industrial practices called Industrial Symbiosis Systems (ISS) as a highly dynamic domain of application for MAS techniques. In ISS, firms aim to reduce their material and energy footprint by circulating reusable resources among the members. To enable systematic reasoning about ISS behavior and support firms’ (as well as ISS designers’) decisions, we see the opportunity for marrying industrial engineering with engineering multiagent systems. This enables introducing (1) representation frameworks to reason about dynamics of ISS, (2) operational semantics to develop computational models for ISS, and (3) coordination mechanisms to enforce desirable ISS behaviors. We argue for applicability and expressiveness of resource-bounded formalisms and norm-aware mechanisms for the design and deployment of ISS practices. In this proposal, we elaborate on different dimensions of ISS, present a methodological foundation for ISS development, and finally discuss open problems.

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KW - Normative Semantics

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BT - Pre-proceedings of the 7th International Workshop on Engineering Multi-Agent Systems (EMAS 2019), 13th-14th May 2019, Montreal, Canada

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ER -

Yazdanpanah V, Yazan DM, van Hillegersberg J, Dastani M. An Introduction to Engineering Multiagent Industrial Symbiosis Systems: Potentials and Challenges. In Bordini RH, Dennis LA, Lespérance Y, editors, Pre-proceedings of the 7th International Workshop on Engineering Multi-Agent Systems (EMAS 2019), 13th-14th May 2019, Montreal, Canada. 2019