article

Synergies of simulation, agents, and systems engineering

Authors:

Levent YilmazAuthors Info & Claims

Expert Systems with Applications: An International Journal, Volume 39, Issue 1

Pages 81 - 88

https://doi.org/10.1016/j.eswa.2011.06.038

Published: 01 January 2012 Publication History

Abstract

Simulation, software agents, and systems engineering are three important disciplines; each of which support many application areas. In this article it is pointed out that their usefulness and efficacy can be significantly improved by first and higher order synergies.

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Digital Library

Cited By

Cañizares PNúñez ABernal ACambronero MBarker A(2023)Simcan2Cloud: a discrete-event-based simulator for modelling and simulating cloud computing infrastructuresJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-023-00511-w12:1Online publication date: 18-Sep-2023
https://dl.acm.org/doi/10.1186/s13677-023-00511-w
Durak UÖren TPadilla JTolk AJafer S(2016)Towards an ontology for simulation systems engineeringProceedings of the 49th Annual Simulation Symposium10.5555/2962374.2962387(1-8)Online publication date: 3-Apr-2016
https://dl.acm.org/doi/10.5555/2962374.2962387
Hammadi MCholey JMhenni F(2014)A multi-agent methodology for multi-level modeling of mechatronic systemsAdvanced Engineering Informatics10.1016/j.aei.2014.03.00528:3(208-217)Online publication date: 1-Aug-2014
https://dl.acm.org/doi/10.1016/j.aei.2014.03.005

Index Terms

Synergies of simulation, agents, and systems engineering
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems

Index terms have been assigned to the content through auto-classification.

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cover image Expert Systems with Applications: An International Journal

Expert Systems with Applications: An International Journal Volume 39, Issue 1

January, 2012

1595 pages

ISSN:0957-4174

Issue’s Table of Contents

Copyright © Elsevier Ltd © 2011.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 January 2012

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Cited By

Cañizares PNúñez ABernal ACambronero MBarker A(2023)Simcan2Cloud: a discrete-event-based simulator for modelling and simulating cloud computing infrastructuresJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-023-00511-w12:1Online publication date: 18-Sep-2023
https://dl.acm.org/doi/10.1186/s13677-023-00511-w
Durak UÖren TPadilla JTolk AJafer S(2016)Towards an ontology for simulation systems engineeringProceedings of the 49th Annual Simulation Symposium10.5555/2962374.2962387(1-8)Online publication date: 3-Apr-2016
https://dl.acm.org/doi/10.5555/2962374.2962387
Hammadi MCholey JMhenni F(2014)A multi-agent methodology for multi-level modeling of mechatronic systemsAdvanced Engineering Informatics10.1016/j.aei.2014.03.00528:3(208-217)Online publication date: 1-Aug-2014
https://dl.acm.org/doi/10.1016/j.aei.2014.03.005

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