Mimicking Complexity : Automatic Generation of Models for the Development of Self-Adaptive Systems
International audience Many methods for complex systems control use a black box approach where the internal states and mechanisms of the controlled process are not needed to be known. Usually, such systems are tested on simulations before their validation on the real world process they were made for...
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ftunivtoulouse2:oai:HAL:hal-04083848v1 2023-12-17T10:32:12+01:00 Mimicking Complexity : Automatic Generation of Models for the Development of Self-Adaptive Systems Boes, Jérémy Glize, Pierre Migeon, Frédéric Systèmes Multi-Agents Coopératifs (IRIT-SMAC) Institut de recherche en informatique de Toulouse (IRIT) Université Toulouse Capitole (UT Capitole) Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J) Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP) Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI) Université Toulouse - Jean Jaurès (UT2J) Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole) Université de Toulouse (UT) Reykjavik, Iceland 2013-07-29 https://hal.science/hal-04083848 https://hal.science/hal-04083848/document https://hal.science/hal-04083848/file/boes_12475.pdf en eng HAL CCSD ISBN: 978-989-8565-69-3 hal-04083848 https://hal.science/hal-04083848 https://hal.science/hal-04083848/document https://hal.science/hal-04083848/file/boes_12475.pdf OATAO: 12475 http://creativecommons.org/licenses/by-nc-nd/ info:eu-repo/semantics/OpenAccess Proceedings of SIMULTECH 2013 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2013) https://hal.science/hal-04083848 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2013), Jul 2013, Reykjavik, Iceland. pp.353-360 https://www.scitepress.org/PublicationsDetail.aspx?ID=VVGqwrOqN3s=&t=1 Complex systems modeling Multi-agent systems Self-tuning Self-composition [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation info:eu-repo/semantics/conferenceObject Conference papers 2013 ftunivtoulouse2 2023-11-21T23:32:24Z International audience Many methods for complex systems control use a black box approach where the internal states and mechanisms of the controlled process are not needed to be known. Usually, such systems are tested on simulations before their validation on the real world process they were made for. These simulations are based on sharp analytical models of the target process that can be very difficult to obtain. But is it useful in the case of black box methods? Since the control system only sees inputs and outputs and is able to learn, we only need to mimic the typical features of the process (such as non-linearity, interdependencies, etc) in an abstract way. This paper aims to show how a simple and versatile simulator can help the design of systems that have to deal with complexity. We present a generator of models used in the simulator and discuss the results obtained in the case of the design of a control system for heat engines. Conference Object Iceland Université Toulouse 2 - Jean Jaurès: HAL |
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Open Polar |
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Université Toulouse 2 - Jean Jaurès: HAL |
op_collection_id |
ftunivtoulouse2 |
language |
English |
topic |
Complex systems modeling Multi-agent systems Self-tuning Self-composition [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation |
spellingShingle |
Complex systems modeling Multi-agent systems Self-tuning Self-composition [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Boes, Jérémy Glize, Pierre Migeon, Frédéric Mimicking Complexity : Automatic Generation of Models for the Development of Self-Adaptive Systems |
topic_facet |
Complex systems modeling Multi-agent systems Self-tuning Self-composition [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation |
description |
International audience Many methods for complex systems control use a black box approach where the internal states and mechanisms of the controlled process are not needed to be known. Usually, such systems are tested on simulations before their validation on the real world process they were made for. These simulations are based on sharp analytical models of the target process that can be very difficult to obtain. But is it useful in the case of black box methods? Since the control system only sees inputs and outputs and is able to learn, we only need to mimic the typical features of the process (such as non-linearity, interdependencies, etc) in an abstract way. This paper aims to show how a simple and versatile simulator can help the design of systems that have to deal with complexity. We present a generator of models used in the simulator and discuss the results obtained in the case of the design of a control system for heat engines. |
author2 |
Systèmes Multi-Agents Coopératifs (IRIT-SMAC) Institut de recherche en informatique de Toulouse (IRIT) Université Toulouse Capitole (UT Capitole) Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J) Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP) Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI) Université Toulouse - Jean Jaurès (UT2J) Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole) Université de Toulouse (UT) |
format |
Conference Object |
author |
Boes, Jérémy Glize, Pierre Migeon, Frédéric |
author_facet |
Boes, Jérémy Glize, Pierre Migeon, Frédéric |
author_sort |
Boes, Jérémy |
title |
Mimicking Complexity : Automatic Generation of Models for the Development of Self-Adaptive Systems |
title_short |
Mimicking Complexity : Automatic Generation of Models for the Development of Self-Adaptive Systems |
title_full |
Mimicking Complexity : Automatic Generation of Models for the Development of Self-Adaptive Systems |
title_fullStr |
Mimicking Complexity : Automatic Generation of Models for the Development of Self-Adaptive Systems |
title_full_unstemmed |
Mimicking Complexity : Automatic Generation of Models for the Development of Self-Adaptive Systems |
title_sort |
mimicking complexity : automatic generation of models for the development of self-adaptive systems |
publisher |
HAL CCSD |
publishDate |
2013 |
url |
https://hal.science/hal-04083848 https://hal.science/hal-04083848/document https://hal.science/hal-04083848/file/boes_12475.pdf |
op_coverage |
Reykjavik, Iceland |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Proceedings of SIMULTECH 2013 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2013) https://hal.science/hal-04083848 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2013), Jul 2013, Reykjavik, Iceland. pp.353-360 https://www.scitepress.org/PublicationsDetail.aspx?ID=VVGqwrOqN3s=&t=1 |
op_relation |
ISBN: 978-989-8565-69-3 hal-04083848 https://hal.science/hal-04083848 https://hal.science/hal-04083848/document https://hal.science/hal-04083848/file/boes_12475.pdf OATAO: 12475 |
op_rights |
http://creativecommons.org/licenses/by-nc-nd/ info:eu-repo/semantics/OpenAccess |
_version_ |
1785585741168902144 |