Article

Using self-diagnosis to adapt organizational structures

Authors:

Bryan Horling,

Brett Benyo,

Victor LesserAuthors Info & Claims

AGENTS '01: Proceedings of the fifth international conference on Autonomous agents

Pages 529 - 536

https://doi.org/10.1145/375735.376436

Published: 28 May 2001 Publication History

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Abstract

The specific organization used by a multi-agent system is crucial for its effectiveness and efficiency. In dynamic environments, or when the objectives of the system shift, the organization must therefore be able to change as well. In this paper we propose using a general diagnosis engine to drive this process of adaptation, using the \tems\ modeling language as the primary representation of organizational information. Results from experiments employing such a system in the Producer-Consumer-Transporter domain are also presented.

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Cited By

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Ayyoub KMokhati FBadri M(2018)Towards a New Approach for Controlling the Reorganization Process of Multi-Agent SystemsComputer Systems and Software Engineering10.4018/978-1-5225-3923-0.ch088(2068-2087)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-3923-0.ch088
Passos LAbreu RRossetti R(2017)Empirical Evaluation of Similarity Coefficients for Multiagent Fault LocalizationIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2016.252390547:5(767-782)Online publication date: May-2017
https://doi.org/10.1109/TSMC.2016.2523905
Rodriguez-Aguilar JSierra CArcos JLopez-Sanchez MRodriguez I(2015)Towards next generation coordination infrastructuresThe Knowledge Engineering Review10.1017/S026988891500009030:04(435-453)Online publication date: 3-Sep-2015
https://doi.org/10.1017/S0269888915000090
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Index Terms

Using self-diagnosis to adapt organizational structures
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems
  2. Modeling and simulation
    1. Simulation support systems
      1. Simulation languages

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Published In

AGENTS '01: Proceedings of the fifth international conference on Autonomous agents

May 2001

662 pages

ISBN:158113326X

DOI:10.1145/375735

Chairmen:
Elisabeth André
DFKI, Germany
,
Sandip Sen
Univ. of Tulsa,
,
Claude Frasson
Univ. of Montreal, Montreal, P.Q., Canada
,
Jörg P. Müller
Seimens, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 May 2001

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AGENTS01: Autonomous Agents 2001

Quebec, Montreal, Canada

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AGENTS '01 Paper Acceptance Rate 66 of 248 submissions, 27%;

Overall Acceptance Rate 182 of 599 submissions, 30%

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Ayyoub KMokhati FBadri M(2018)Towards a New Approach for Controlling the Reorganization Process of Multi-Agent SystemsComputer Systems and Software Engineering10.4018/978-1-5225-3923-0.ch088(2068-2087)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-3923-0.ch088
Passos LAbreu RRossetti R(2017)Empirical Evaluation of Similarity Coefficients for Multiagent Fault LocalizationIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2016.252390547:5(767-782)Online publication date: May-2017
https://doi.org/10.1109/TSMC.2016.2523905
Rodriguez-Aguilar JSierra CArcos JLopez-Sanchez MRodriguez I(2015)Towards next generation coordination infrastructuresThe Knowledge Engineering Review10.1017/S026988891500009030:04(435-453)Online publication date: 3-Sep-2015
https://doi.org/10.1017/S0269888915000090
Ayyoub KMokhati FBadri M(2014)Towards a New Approach for Controlling the Reorganization Process of Multi-Agent SystemsInternational Journal of Agent Technologies and Systems10.4018/ijats.20140401046:2(73-91)Online publication date: 1-Apr-2014
https://doi.org/10.4018/ijats.2014040104
Passos LRossetti RGabriel J(2014)Advances in Fault-Tolerant Multi-Agent SystemsEncyclopedia of Information Science and Technology, Third Edition10.4018/978-1-4666-5888-2.ch690(7006-7017)Online publication date: 31-Jul-2014
https://doi.org/10.4018/978-1-4666-5888-2.ch690
Alqithami SHexmoor H(2014)Plasticity in Network OrganizationsJournal of Advanced Computational Intelligence and Intelligent Informatics10.20965/jaciii.2014.p056718:4(567-572)Online publication date: 20-Jul-2014
https://doi.org/10.20965/jaciii.2014.p0567
Campos JLopez-Sanchez MSalamó MAvila PRodríguez-Aguilar J(2013)Robust Regulation Adaptation in Multi-Agent SystemsACM Transactions on Autonomous and Adaptive Systems10.1145/25173288:3(1-27)Online publication date: 1-Sep-2013
https://dl.acm.org/doi/10.1145/2517328
Alberola JJulian VGarcia-Fornes A(2013)Multidimensional Adaptation in MAS OrganizationsIEEE Transactions on Cybernetics10.1109/TSMCB.2012.221359243:2(622-633)Online publication date: Apr-2013
https://doi.org/10.1109/TSMCB.2012.2213592
Kota RGibbins NJennings N(2012)Decentralized approaches for self-adaptation in agent organizationsACM Transactions on Autonomous and Adaptive Systems10.1145/2168260.21682617:1(1-28)Online publication date: 4-May-2012
https://dl.acm.org/doi/10.1145/2168260.2168261
Kafalı ÖTorroni P(2012)Exception diagnosis in multiagent contract executionsAnnals of Mathematics and Artificial Intelligence10.1007/s10472-012-9282-164:1(73-107)Online publication date: 1-Jan-2012
https://dl.acm.org/doi/10.1007/s10472-012-9282-1
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