Using agent-based simulation for emergent behavior detection in cyber-physical systems

Rob Bemthuis; Martijn Mes; Maria Eugenia Iacob; Paul J.M. Havinga

doi:10.1109/WSC48552.2020.9383956

Using agent-based simulation for emergent behavior detection in cyber-physical systems

Rob Bemthuis, Martijn Mes, Maria Eugenia Iacob, Paul J.M. Havinga

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

12 Citations (Scopus)

218 Downloads (Pure)

Abstract

Traditional modeling approaches, based on predefined business logic, offer little support for today’s complex environments. In this paper, we propose a conceptual agent-based simulation framework to help not only discover complex business processes but also to analyze and learn from emergent behavior arising in cyber-physical systems. Techniques originating from agent-based modeling as well as from the process mining discipline are used to reinforce agent-based decision-making. Whereas agent-technology is used to orchestrate the integration and relationship between the environment and business logic activities, process mining capabilities are mainly used to discover and analyze emergent behavior. Using a functional decomposition approach, we specified three agent types: cyber-physical controller agent, business rule management agent, and emergent behavior detection agent. We use agent-based simulation of a logistics cold chain case study to demonstrate the feasibility of our approach.

Original language	English
Title of host publication	Proceedings of the 2020 Winter Simulation Conference, WSC
Editors	K.-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, R. Thiesing
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	230-241
Number of pages	12
ISBN (Electronic)	978-1-7281-9499-8
ISBN (Print)	978-1-7281-9500-1
DOIs	https://doi.org/10.1109/WSC48552.2020.9383956
Publication status	Published - 29 Mar 2021
Event	Winter Simulation Conference, WSC 2020: Simulation Drives Innovation - Virtual Conference, Orlando, United States Duration: 14 Dec 2020 → 18 Dec 2020 http://meetings2.informs.org/wordpress/wsc2020/

Conference

Conference	Winter Simulation Conference, WSC 2020
Abbreviated title	WSC 2020
Country/Territory	United States
City	Orlando
Period	14/12/20 → 18/12/20
Internet address	http://meetings2.informs.org/wordpress/wsc2020/

Keywords

2020 OA procedure

Access to Document

10.1109/WSC48552.2020.9383956

Bemthuis2020usingAccepted author version, 1.71 MB
Bemthuis2020usingFinal published version, 735 KBLicence: Taverne

Winter Simulation Conference, WSC 2020
Bemthuis, R. (Participant)
14 Dec 2020 → 18 Dec 2020
Activity: Participating in or organising an event › Participating in a conference, workshop, ...

Data underlying the paper: Using agent-based simulation for emergent behavior detection in cyber-physical systems
Bemthuis, R. (Creator), Mes, M. R. K. (Contributor), Iacob, M. E. (Contributor) & Havinga, P. J. M. (Contributor), 4TU.Centre for Research Data, 10 Jun 2021
DOI: 10.4121/14743263, https://data.4tu.nl/articles/_/14743263/1
Dataset

Cite this

Bemthuis, R., Mes, M., Iacob, M. E., & Havinga, P. J. M. (2021). Using agent-based simulation for emergent behavior detection in cyber-physical systems. In K.-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, & R. Thiesing (Eds.), Proceedings of the 2020 Winter Simulation Conference, WSC (pp. 230-241). Article 9383956 IEEE. https://doi.org/10.1109/WSC48552.2020.9383956

@inproceedings{bc788b67724d45beb8fafffd86483e48,

title = "Using agent-based simulation for emergent behavior detection in cyber-physical systems",

abstract = "Traditional modeling approaches, based on predefined business logic, offer little support for today{\textquoteright}s complex environments. In this paper, we propose a conceptual agent-based simulation framework to help not only discover complex business processes but also to analyze and learn from emergent behavior arising in cyber-physical systems. Techniques originating from agent-based modeling as well as from the process mining discipline are used to reinforce agent-based decision-making. Whereas agent-technology is used to orchestrate the integration and relationship between the environment and business logic activities, process mining capabilities are mainly used to discover and analyze emergent behavior. Using a functional decomposition approach, we specified three agent types: cyber-physical controller agent, business rule management agent, and emergent behavior detection agent. We use agent-based simulation of a logistics cold chain case study to demonstrate the feasibility of our approach. ",

keywords = "2020 OA procedure",

author = "Rob Bemthuis and Martijn Mes and Iacob, {Maria Eugenia} and Havinga, {Paul J.M.}",

note = "Funding Information: This work was supported by the Netherlands Organization for Scientific Research (NWO) under the DataRel project (grant 628.009.015), and EFRO, OP Oost program under the Countdown project. Publisher Copyright: {\textcopyright} 2020 IEEE.; Winter Simulation Conference, WSC 2020 : Simulation Drives Innovation, WSC 2020 ; Conference date: 14-12-2020 Through 18-12-2020",

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Bemthuis, R , Mes, M, Iacob, ME & Havinga, PJM 2021, Using agent-based simulation for emergent behavior detection in cyber-physical systems. in K-H Bae, B Feng, S Kim, S Lazarova-Molnar, Z Zheng, T Roeder & R Thiesing (eds), Proceedings of the 2020 Winter Simulation Conference, WSC., 9383956, IEEE, Piscataway, NJ, pp. 230-241, Winter Simulation Conference, WSC 2020, Orlando, United States, 14/12/20. https://doi.org/10.1109/WSC48552.2020.9383956

Using agent-based simulation for emergent behavior detection in cyber-physical systems. / Bemthuis, Rob ; Mes, Martijn; Iacob, Maria Eugenia et al.
Proceedings of the 2020 Winter Simulation Conference, WSC. ed. / K.-H. Bae; B. Feng; S. Kim; S. Lazarova-Molnar; Z. Zheng; T. Roeder; R. Thiesing. Piscataway, NJ: IEEE, 2021. p. 230-241 9383956.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Bemthuis, Rob

AU - Mes, Martijn

AU - Iacob, Maria Eugenia

AU - Havinga, Paul J.M.

N1 - Funding Information: This work was supported by the Netherlands Organization for Scientific Research (NWO) under the DataRel project (grant 628.009.015), and EFRO, OP Oost program under the Countdown project. Publisher Copyright: © 2020 IEEE.

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N2 - Traditional modeling approaches, based on predefined business logic, offer little support for today’s complex environments. In this paper, we propose a conceptual agent-based simulation framework to help not only discover complex business processes but also to analyze and learn from emergent behavior arising in cyber-physical systems. Techniques originating from agent-based modeling as well as from the process mining discipline are used to reinforce agent-based decision-making. Whereas agent-technology is used to orchestrate the integration and relationship between the environment and business logic activities, process mining capabilities are mainly used to discover and analyze emergent behavior. Using a functional decomposition approach, we specified three agent types: cyber-physical controller agent, business rule management agent, and emergent behavior detection agent. We use agent-based simulation of a logistics cold chain case study to demonstrate the feasibility of our approach.

AB - Traditional modeling approaches, based on predefined business logic, offer little support for today’s complex environments. In this paper, we propose a conceptual agent-based simulation framework to help not only discover complex business processes but also to analyze and learn from emergent behavior arising in cyber-physical systems. Techniques originating from agent-based modeling as well as from the process mining discipline are used to reinforce agent-based decision-making. Whereas agent-technology is used to orchestrate the integration and relationship between the environment and business logic activities, process mining capabilities are mainly used to discover and analyze emergent behavior. Using a functional decomposition approach, we specified three agent types: cyber-physical controller agent, business rule management agent, and emergent behavior detection agent. We use agent-based simulation of a logistics cold chain case study to demonstrate the feasibility of our approach.

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BT - Proceedings of the 2020 Winter Simulation Conference, WSC

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PB - IEEE

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T2 - Winter Simulation Conference, WSC 2020

Y2 - 14 December 2020 through 18 December 2020

ER -

Using agent-based simulation for emergent behavior detection in cyber-physical systems

Abstract

Conference

Keywords

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Activities

Winter Simulation Conference, WSC 2020

Datasets

Data underlying the paper: Using agent-based simulation for emergent behavior detection in cyber-physical systems

Cite this