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Reproducing and exploring past events using agent-based geo-historical models

descriptionPublicationkeyboard_double_arrow_right Conference object , Part of book or chapter of book 05 May 2014 France English HAL CCSD

Authors: Nasser Gasmi; Arnaud Grignard; Alexis Drogoul; Benoit Gaudou; Patrick Taillandier; Olivier Tessier; Duc An Vo;

doi: 10.1007/978-3-319-14627-0_11

Reproducing and exploring past events using agent-based geo-historical models

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- Subjects
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Abstract

International audience; The field of “digital humanities” is about using the latest digital methodologies in order to tackle humanities disciplines and social sciences questions. The ARCHIVES project belongs to this new research area. It proposes a methodology to build agent-based models of historical events, in particular crisis events, in order to answer new questions about them or explore them in new ways. In this paper, we present the first implementation of ARCHIVES on the case study of the management of floods in Hà Nội (Việt Nam) in 1926. We show how we collected, digitized and indexed numerous historical documents from various sources, built a historical geographic information system to represent the environment and flooding events and finally designed an agent-based model of human activities in this reconstructed environment. We then show how this model helped us understanding the decisions made by the different actors during this event, testing multiple scenarios and answering several questions concerning the management of the flooding events.

Country

France

Related Organizations

Institut de Recherche pour le Développement
France
Université Paris Diderot
France
University of Toulouse
France
Toulouse 1 Capitole University
France
École Normale Supérieure
France

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Subjects by Vocabulary

Microsoft Academic Graph classification: Agent-based model Operations research Computer science Event (computing) Crisis management Data science Field (geography) Flooding (computer networking) Order (exchange) Digital humanities Historical geographic information system

Keywords

Agent-based model, [SDV]Life Sciences [q-bio], Crisis management, Système multi-agents, Historical geographic information systems, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], Historical event simulation, H- INFORMATIQUE

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2. Foundation for Intelligent Physical Agents. FIPA Communicative Act Library Specification, 2002. URL: http://www.fipa.org/repository/aclspecs.html.

3. P. Gourou. Les paysans du delta tonkinois. Publications de l'Ecole Franc¸aise d'Extrˆeme Orient, Les Editions d'art et d'histoire, Paris, 1936.

4. A. Grignard, P. Taillandier, B. Gaudou, D. A. Vo, N. Q. Hyunh, and A. Drogoul. GAMA 1.6: Advancing the art of complex agent-based modeling and simulation. In G. Boella, E. Elkind, B. T. R. Savarimuthu, F. Dignum, and M. K. Purvis, editors, PRIMA 2013, volume 8291 of Lecture Notes in Computer Science, pages 117-131, Dunedin, New Zealand, 2013. Springer. [OpenAIRE]

5. S. Heckbert. MayaSim: An agent-based model of the ancient maya social-ecological system. Journal of Artificial Societies and Social Simulation, 16(4), 2013. [OpenAIRE]

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7. O. Tessier. Outline of the process of red river hydraulics development during the nguyen dynasty. Environmental Change, Agricultural Sustainability and Economic Development in the Mekong Delta, 45:45-68, 2011.

8. O. Tessier. Hydrological Development of the Red River Delta: A Historical Perspective of the Role of the Imperial then Colonial State (From the XIIth Century to the First Half of the XXth Century). In S. Lagr´ee, editor, Water and its Many Issues. Methods and Cross-cutting Analysis, Regional Social Sciences Summer University, chapter 1.6, pages 130-154. Journ´ees de Tam Dao, 2013.

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	9
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Usage byUsageCounts

visibility	views	87
download	downloads	26

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	9
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average