Tutorial Note on Agent-based Modeling and Simulation: Application to Diffusion Models
Alexis Drogoul, Benoit Gaudou
2013
Abstract
This tutorial note aims at introducing agent-based paradigm for the modeling and simulation of complex systems. It will focus on its key concepts and highlight its specific features and benefits. A big part of the paper is dedicated to provide examples of applications taken in the diffusion model literature illustrating the versatility of agents and benefits it can bring to model in terms of heterogeneity (concerning agents or the environment).
References
- Wooldridge, M.: An Introduction to Multiagent Systems. John Wiley and Sons Ltd (2002)
- DeAngelis, D., Gross, L.: Individual-Based Models and Approaches in Ecology. Chapman and Hall, New York (1992)
- Gilbert, N., Troitzsch, K. G.: Simulation for the Social Scientist. Second edn. Milton Keynes: Open University Press (2005)
- Minsky, M. L.: Matter, mind and models. In: Proc. International Federation of Information Processing Congress. Volume 1. (1965) 45-49
- Wooldridge, M., Jennings, N. R.: Intelligent agents: theory and practice. The Knowledge Engineering Review 10 (1995) 115-152
- Macal, C., North, M.: Tutorial on agent-based modelling and simulation. Journal of Simulation 4 (2010) 151-162
- Klügl, F., Fehler, M., Herrler, R.: About the role of the environment in multi-agent simulations. In Weyns, D., Dyke Parunak, H., Michel, F., eds.: Environments for Multi-Agent Systems. Volume 3374 of LNCS. Springer Berlin Heidelberg (2005) 127-149
- Nikolai, C., Madey, G.: Tools of the trade: A survey of various agent based modeling platforms. Journal of Artificial Societies and Social Simulation 12 (2009) 2
- Wilensky, U.: Netlogo. Technical report, Center for Connected Learning and ComputerBased Modeling, Northwestern University, Evanston, IL (1999)
- North, M., Howe, T., Collier, N., Vos, J.: A declarative model assembly infrastructure for verification and validation. In: Advancing Social Simulation: 1st World Congress. (2007)
- Taillandier, P., Vo, D. A., Amouroux, E., Drogoul, A.: GAMA: a simulation platform that integrates geographical information data, agent-based modeling and multi-scale control. In Springer, ed.: Proceedings of PRIMA. Volume 7057 of LNCS. (2010) 242-258
- Helbing, D., Balietti, S.: Agent-based modeling. In Helbing, D., ed.: Social SelfOrganization, Understanding Complex Systems. Springer-Verlag, Berlin Heidelberg (2012)
- Janssen, M. A.: Games & Gossip. An eBook. http://www.openabm.org/book (2010)
- : MAELIA project. http://maelia1.wordpress.com/. (2009-2013)
- Moscovici, S., Doise, W.: Dissension et consensus. PUF, Paris (1992)
- Weisbuch, G., Boudjema, G.: Dynamical aspects in the adoption of agri-environmental measures. Advances in Complex Systems 2 (1999) 11-36
- Deffuant, G., Neau, D., Amblard, F., Weisbuch, G.: Mixing beliefs among interacting agents. Advances in Complex Systems 3 (2000) 87-98
- Deffuant, G., Amblard, F., Weisbuch, G., Faure, T.: How can extremism prevail ? a study based on the relative agreement interaction model. JASSS 5 (2002)
- Rogers, E. M.: Diffusion of Innovations. 1st edn. New York : Free Press (1962)
- Ryan, B., Gross, N.: The diffusion of hybrid seed corn in two iowa communities. Rural Sociology 8 (1943) 15-24
- Bass, F. M.: A new product growth for model consumer durables. Management Science 15 (1969) 215-227
- Meade, N., Islam, T.: Modelling and forecasting the diffusion of innovation - a 25-year review. International Journal of Forecasting 22 (2006) 519-545
- Thiriot, S.: Vers une modélisation plus réaliste de la diffusion d'innovations à l'aide de la simulation multi-agents. PhD thesis, UPMC - Paris VI (2009)
- Granovetter, M.: Threshold models of collective behavior. The American Journal of Sociology 83 (1978) 1420-1443
- Deffuant, G.: Improving agri-environmental policies : a simulation approach to the cognitive properties of farmers and institutions. Technical report, CEMAGREF (2001)
- Kermack, W., McKendrick, A.: Contributions to the mathematical theory of epidemics. part. II. Proc. R. Soc. Lond. B Biol. Sci. 138 (1932) 55-83
- Balcan, D., Gonalves, B., Hu, H., Ramasco, J. J., Colizza, V., Vespignani, A.: Modeling the spatial spread of infectious diseases: The global epidemic and mobility computational model. Journal of Computational Science 1 (2010) 132-145
- Meloni, S., Perra, N., Arenas, A., Gomez, S., Moreno, Y., Vespignani, A.: Modeling human mobility responses to the large-scale spreading of infectious diseases. Scient. Rep. 1 (2011)
- Eubank, S., Guclu, H., Kumar, V. S. A., Marathe, M. V., Srinivasan, A., Toroczkai, Z., Wang, N.: Modelling disease outbreaks in realistic urban social networks. Nature 429 (2004)
- Axelrod, R.: Dissemination of culture: A model of local convergence and global polarization. Journal of Conflict Resolution 41 (1997) 203-226
- Daley, D., Kendall, D.: Epidemics and rumours. Nature 204 (1964) 1118
- Sibertin-Blanc, C., Thérond, O., Monteil, C., Mazzega, P.: Formal Modeling of SocialEcological Systems. In: Europ. Social Simulation Association Conference, Cemagref (2011)
- Neitsch, S.L., Arnold, J.G., Kiniry, J., Williams, J. R.: Soil and water assessment tool theoretical documentation (v. 2005). Technical report, USDA Agricultural Research Service and Texas A&M Blackland Research Center, Temple, Texas (2005)
- Mayor, E., Mazzega, P., Panzoli, D., Sibertin-Blanc, C., Thérond, O., Vavasseur, M.: Formal representation of Water Withdrawal Policies for Integrated Assessment. In Thomas, G., Grégoire, N., eds.: European Conference on Complex Systems, Brussels, Springer (2012)
- Taillandier, P., Thérond, O., Gaudou, B.: A new BDI agent architecture based on the belief theory. Application to the modelling of cropping plan decision-making. In: Int. Environmental Modelling and Software Society (iEMSs), Leipzig, Germany. (2012) 1-5
- Vo, D. A., Drogoul, A., Zucker, J. D.: An operational meta-model for handling multiple scales in agent-based simulations. In: Proc. of RIVF. (2012) 1-6
- Duboz, R., Amblard, F., Ramat, E., Deffuant, G., Preux, P.: Individual-based model to enrich an aggregate model. In: Workshop Model-to-Model (M2M), Marseille, France (2003) 57-64
Paper Citation
in Harvard Style
Drogoul A. and Gaudou B. (2013). Tutorial Note on Agent-based Modeling and Simulation: Application to Diffusion Models . In Proceedings of GEODIFF 2013 - Volume 1: GEODIFF, (VISIGRAPP 2013) ISBN 978-989-8565-49-5, pages 46-55. DOI: 10.5220/0004399800460055
in Bibtex Style
@conference{geodiff13,
author={Alexis Drogoul and Benoit Gaudou},
title={Tutorial Note on Agent-based Modeling and Simulation: Application to Diffusion Models},
booktitle={Proceedings of GEODIFF 2013 - Volume 1: GEODIFF, (VISIGRAPP 2013)},
year={2013},
pages={46-55},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004399800460055},
isbn={978-989-8565-49-5},
}
in EndNote Style
TY - CONF
JO - Proceedings of GEODIFF 2013 - Volume 1: GEODIFF, (VISIGRAPP 2013)
TI - Tutorial Note on Agent-based Modeling and Simulation: Application to Diffusion Models
SN - 978-989-8565-49-5
AU - Drogoul A.
AU - Gaudou B.
PY - 2013
SP - 46
EP - 55
DO - 10.5220/0004399800460055