Holonic multiagent simulation of complex adaptive systems

Rafik Hadfi; Takayuki Ito

doi:10.1007/978-3-319-39387-2_12

Holonic multiagent simulation of complex adaptive systems

Rafik Hadfi, Takayuki Ito

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

8 Citations (Scopus)

Abstract

We propose a holonic multiagent simulator that can simulate any complex urban environment. We focus on traffic simulation within any geographic area on earth, subject to any weather conditions. We adopt an agent-based approach for the different beahviors of the vehicles, drivers, and pedestrians. The proposed driving behavioral models can realistically emulate driving behaviors of humans. The resulting simulator can handle all the complexities of such environments in accordance with the laws of physics.

Original language	English
Title of host publication	Highlights of Practical Applications of Scalable Multi-Agent Systems
Subtitle of host publication	The PAAMS Collection - International Workshops of PAAMS 2016, Proceedings
Editors	Javier Bajo, Maria Jose Escalona, Sylvain Giroux, Patrucja Hoffa-Dabrowska, Vicente Julian, Paulo Novais, Nayat Sanchez-Pi, Rainer Unland, Ricardo Asambuja-Silveira
Place of Publication	Switzerland
Publisher	Springer
Pages	137-147
Number of pages	11
ISBN (Electronic)	9783319393872
ISBN (Print)	9783319393865
DOIs	https://doi.org/10.1007/978-3-319-39387-2_12
Publication status	Published - 1 Jan 2016
Externally published	Yes
Event	International Workshops of PAAMS 2016: Workshop on MAS for Complex Networks and Social Computation (CNSC) - Sevilla, Spain Duration: 1 Jun 2016 → 3 Jun 2016 Conference number: 14th https://link-springer-com.ezproxy.lib.monash.edu.au/content/pdf/10.1007%2F978-3-319-39387-2.pdf (Springer Proceedings)

Publication series

Name	Communications in Computer and Information Science
Volume	616
ISSN (Print)	1865-0929

Workshop

Workshop	International Workshops of PAAMS 2016
Abbreviated title	PAAMS 2016
Country/Territory	Spain
City	Sevilla
Period	1/06/16 → 3/06/16
Other	PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems
Internet address	https://link-springer-com.ezproxy.lib.monash.edu.au/content/pdf/10.1007%2F978-3-319-39387-2.pdf (Springer Proceedings)

Keywords

Geographic information system
Holonic system
Mobility generation
Multiagent simulation
Traffic simulation
Weather Simulation

Access to Document

10.1007/978-3-319-39387-2_12

Cite this

Hadfi, R., & Ito, T. (2016). Holonic multiagent simulation of complex adaptive systems. In J. Bajo, M. J. Escalona, S. Giroux, P. Hoffa-Dabrowska, V. Julian, P. Novais, N. Sanchez-Pi, R. Unland, & R. Asambuja-Silveira (Eds.), Highlights of Practical Applications of Scalable Multi-Agent Systems: The PAAMS Collection - International Workshops of PAAMS 2016, Proceedings (pp. 137-147). (Communications in Computer and Information Science; Vol. 616). Springer. https://doi.org/10.1007/978-3-319-39387-2_12

Hadfi, Rafik ; Ito, Takayuki. / Holonic multiagent simulation of complex adaptive systems. Highlights of Practical Applications of Scalable Multi-Agent Systems: The PAAMS Collection - International Workshops of PAAMS 2016, Proceedings. editor / Javier Bajo ; Maria Jose Escalona ; Sylvain Giroux ; Patrucja Hoffa-Dabrowska ; Vicente Julian ; Paulo Novais ; Nayat Sanchez-Pi ; Rainer Unland ; Ricardo Asambuja-Silveira. Switzerland : Springer, 2016. pp. 137-147 (Communications in Computer and Information Science).

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title = "Holonic multiagent simulation of complex adaptive systems",

abstract = "We propose a holonic multiagent simulator that can simulate any complex urban environment. We focus on traffic simulation within any geographic area on earth, subject to any weather conditions. We adopt an agent-based approach for the different beahviors of the vehicles, drivers, and pedestrians. The proposed driving behavioral models can realistically emulate driving behaviors of humans. The resulting simulator can handle all the complexities of such environments in accordance with the laws of physics.",

keywords = "Geographic information system, Holonic system, Mobility generation, Multiagent simulation, Traffic simulation, Weather Simulation",

author = "Rafik Hadfi and Takayuki Ito",

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editor = "Javier Bajo and Escalona, {Maria Jose} and Giroux, {Sylvain } and Patrucja Hoffa-Dabrowska and Vicente Julian and Paulo Novais and Nayat Sanchez-Pi and Rainer Unland and Ricardo Asambuja-Silveira",

booktitle = "Highlights of Practical Applications of Scalable Multi-Agent Systems",

note = "International Workshops of PAAMS 2016 : Workshop on MAS for Complex Networks and Social Computation (CNSC), PAAMS 2016 ; Conference date: 01-06-2016 Through 03-06-2016",

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Hadfi, R & Ito, T 2016, Holonic multiagent simulation of complex adaptive systems. in J Bajo, MJ Escalona, S Giroux, P Hoffa-Dabrowska, V Julian, P Novais, N Sanchez-Pi, R Unland & R Asambuja-Silveira (eds), Highlights of Practical Applications of Scalable Multi-Agent Systems: The PAAMS Collection - International Workshops of PAAMS 2016, Proceedings. Communications in Computer and Information Science, vol. 616, Springer, Switzerland, pp. 137-147, International Workshops of PAAMS 2016, Sevilla, Spain, 1/06/16. https://doi.org/10.1007/978-3-319-39387-2_12

Holonic multiagent simulation of complex adaptive systems. / Hadfi, Rafik; Ito, Takayuki.
Highlights of Practical Applications of Scalable Multi-Agent Systems: The PAAMS Collection - International Workshops of PAAMS 2016, Proceedings. ed. / Javier Bajo; Maria Jose Escalona; Sylvain Giroux; Patrucja Hoffa-Dabrowska; Vicente Julian; Paulo Novais; Nayat Sanchez-Pi; Rainer Unland; Ricardo Asambuja-Silveira. Switzerland: Springer, 2016. p. 137-147 (Communications in Computer and Information Science; Vol. 616).

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

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T1 - Holonic multiagent simulation of complex adaptive systems

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AU - Ito, Takayuki

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PY - 2016/1/1

Y1 - 2016/1/1

N2 - We propose a holonic multiagent simulator that can simulate any complex urban environment. We focus on traffic simulation within any geographic area on earth, subject to any weather conditions. We adopt an agent-based approach for the different beahviors of the vehicles, drivers, and pedestrians. The proposed driving behavioral models can realistically emulate driving behaviors of humans. The resulting simulator can handle all the complexities of such environments in accordance with the laws of physics.

AB - We propose a holonic multiagent simulator that can simulate any complex urban environment. We focus on traffic simulation within any geographic area on earth, subject to any weather conditions. We adopt an agent-based approach for the different beahviors of the vehicles, drivers, and pedestrians. The proposed driving behavioral models can realistically emulate driving behaviors of humans. The resulting simulator can handle all the complexities of such environments in accordance with the laws of physics.

KW - Geographic information system

KW - Holonic system

KW - Mobility generation

KW - Multiagent simulation

KW - Traffic simulation

KW - Weather Simulation

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BT - Highlights of Practical Applications of Scalable Multi-Agent Systems

A2 - Bajo, Javier

A2 - Escalona, Maria Jose

A2 - Giroux, Sylvain

A2 - Hoffa-Dabrowska, Patrucja

A2 - Julian, Vicente

A2 - Novais, Paulo

A2 - Sanchez-Pi, Nayat

A2 - Unland, Rainer

A2 - Asambuja-Silveira, Ricardo

PB - Springer

CY - Switzerland

T2 - International Workshops of PAAMS 2016

Y2 - 1 June 2016 through 3 June 2016

ER -

Hadfi R, Ito T. Holonic multiagent simulation of complex adaptive systems. In Bajo J, Escalona MJ, Giroux S, Hoffa-Dabrowska P, Julian V, Novais P, Sanchez-Pi N, Unland R, Asambuja-Silveira R, editors, Highlights of Practical Applications of Scalable Multi-Agent Systems: The PAAMS Collection - International Workshops of PAAMS 2016, Proceedings. Switzerland: Springer. 2016. p. 137-147. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-39387-2_12

Holonic multiagent simulation of complex adaptive systems

Abstract

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Keywords

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