References

This page contains a subset of the scientific papers that have been written either about GAMA or using the platform as an experimental/modeling support.

If you happen to publish a paper that uses or discusses GAMA, please let us know, so that we can include it in this list.

As stated in the first page, if you need to cite GAMA in a paper, we kindly ask you to use this reference:

• A. Grignard, P. Taillandier, B. Gaudou, D-A. Vo, N-Q. Huynh, A. Drogoul (2013), GAMA 1.6: Advancing the Art of Complex Agent-Based Modeling and Simulation. In ‘PRIMA 2013: Principles and Practice of Multi-Agent Systems’, Lecture Notes in Computer Science, Vol. 8291, Springer, pp. 117-131.

Papers about GAMA

• Taillandier, Patrick, Arnaud Grignard, Benoit Gaudou, and Alexis Drogoul. “Des données géographiques à la simulation à base d’agents: application de la plate-forme GAMA.” Cybergeo: European Journal of Geography (2014).

• A. Grignard, P. Taillandier, B. Gaudou, D-A. Vo, N-Q. Huynh, A. Drogoul (2013), GAMA 1.6: Advancing the Art of Complex Agent-Based Modeling and Simulation. In ‘PRIMA 2013: Principles and Practice of Multi-Agent Systems’, Lecture Notes in Computer Science, Vol. 8291, Springer, pp. 117-131.

• Grignard, Arnaud, Alexis Drogoul, and Jean-Daniel Zucker. “Online analysis and visualization of agent based models.” Computational Science and Its Applications–ICCSA 2013. Springer Berlin Heidelberg, 2013. 662-672.

• Taillandier, P., Drogoul, A., Vo, D.A. and Amouroux, E. (2012), GAMA: a simulation platform that integrates geographical information data, agent-based modeling and multi-scale control. In ‘The 13th International Conference on Principles and Practices in Multi-Agent Systems (PRIMA)’, India, Volume 7057/2012, pp 242-258.

• Taillandier, P. & Drogoul, A. (2011), From Grid Environment to Geographic Vector Agents, Modeling with the GAMA simulation platform. In ‘25th Conference of the International Cartographic Association’, Paris, France.

• Taillandier, P. ; Drogoul A. ; Vo D.A. & Amouroux, E. (2010), GAMA : bringing GIS and multi-level capabilities to multi-agent simulation, in ‘the 8th European Workshop on Multi-Agent Systems’, Paris, France.

• Amouroux, E., Taillandier, P. & Drogoul, A. (2010), Complex environment representation in epidemiology ABM: application on H5N1 propagation. In ‘the 3rd International Conference on Theories and Applications of Computer Science’ (ICTACS’10).

• Amouroux, E., Chu, T.Q., Boucher, A. and Drogoul, A. (2007), GAMA: an environment for implementing and running spatially explicit multi-agent simulations. In ‘Pacific Rim International Workshop on Multi-Agents’, Bangkoku, Thailand, pp. 359–371.

PhD theses

• Truong Xuan Viet, “Optimization by Simulation of an Environmental Surveillance Network: Application to the Fight against Rice Pests in the Mekong Delta (Vietnam)”, University of Paris 6 & Ho Chi Minh University of Technology, defended June 24th, 2014.

• Nguyen Nhi Gia Vinh, “Designing multi-scale models to support environmental decision: application to the control of Brown Plant Hopper invasions in the Mekong Delta (Vietnam)”, University of Paris 6, defended Oct. 31st, 2013.

• Vo Duc An, “An operational architecture to handle multiple levels of representation in agent-based models”, University of Paris 6, defended Nov. 30th 2012.

• Amouroux Edouard, “KIMONO: a descriptive agent-based modeling methodology for the exploration of complex systems: an application to epidemiology”, University of Paris 6, defended Sept. 30th, 2011.

• Chu Thanh Quang, “Using agent-based models and machine learning to enhance spatial decision support systems: Application to resource allocation in situations of urban catastrophes”, University of Paris 6, defended July 1st, 2011.

• Nguyen Ngoc Doanh, “Coupling Equation-Based and Individual-Based Models in the Study of Complex Systems: A Case Study in Theoretical Population Ecology”, University of Paris 6, defended Dec. 14th, 2010.

Research papers that use GAMA as modeling/simulation support

2016

• Bhamidipati, S., van der Lei, T., & Herder, P. (2016). A layered approach to model interconnected infrastructure and its significance for asset management. EJTIR, 16(1), 254-272.

2014

• E. G. Macatulad , A. C. Blanco (2014) 3DGIS-BASED MULTI-AGENT GEOSIMULATION AND VISUALIZATION OF BUILDING EVACUATION USING GAMA PLATFORM. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-2, 2014. ISPRS Technical Commission II Symposium, 6 – 8 October 2014, Toronto, Canada. Retrieved from http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2/87/2014/isprsarchives-XL-2-87-2014.pdf

• S. Bhamidipati (2014) A simulation framework for asset management in climate-change adaptation of transportation infrastructure. In: Proceedings of 42nd European Transport Conference. Frankfurt, Germany. Retrieved from http://abstracts.aetransport.org/paper/download/id/4317

• Gaudou, B., Sibertin-Blanc, C., Thérond, O., Amblard, F., Auda, Y., Arcangeli, J.-P., Balestrat, M., Charron-Moirez, M.-H., Gondet, E., Hong, Y., Lardy, R., Louail, T., Mayor, E., Panzoli, D., Sauvage, S., Sanchez-Perez, J., Taillandier, P., Nguyen, V. B., Vavasseur, M., Mazzega, P. (2014). The MAELIA multi-agent platform for integrated assessment of low-water management issues. In: International Workshop on Multi-Agent-Based Simulation (MABS 2013), Saint-Paul, MN, USA, 06/05/2013-07/05/2013, Vol. 8235, Shah Jamal Alam, H. Van Dyke Parunak, (Eds.), Springer, Lecture Notes in Computer Science, p. 85-110.

• Gaudou, B., Lorini, E., Mayor, E. (2014.) Moral Guilt: An Agent-Based Model Analysis. In: Conference of the European Social Simulation Association (ESSA 2013), Warsaw, 16/09/2013-20/09/2013, Vol. 229, Springer, Advances in Intelligent Systems and Computing, p. 95-106.

2013

• Drogoul, A., Gaudou, B., Grignard, A., Taillandier, P., & Vo, D. A. (2013). Practical Approach To Agent-Based Modelling. In: Water and its Many Issues. Methods and Cross-cutting Analysis. Stéphane Lagrée (Eds.), Journées de Tam Dao, p. 277-300, Regional Social Sciences Summer University.

• Drogoul, A., Gaudou, B. (2013) Methods for Agent-Based Computer Modelling. In: Water and its Many Issues. Methods and Cross-cutting Analysis. Stéphane Lagrée (Eds.), Journées de Tam Dao, 1.6, p. 130-154, Regional Social Sciences Summer University.

• Truong, M.-T., Amblard, F., Gaudou, B., Sibertin-Blanc, C., Truong, V. X., Drogoul, A., Hyunh, X. H., Le, M. N. (2013). An implementation of framework of business intelligence for agent-based simulation. In: Symposium on Information and Communication Technology (SoICT 2013), Da Nang, Viet Nam, 05/12/2013-06/12/2013, Quyet Thang Huynh, Thanh Binh Nguyen, Van Tien Do, Marc Bui, Hong Son Ngo (Eds.), ACM, p. 35-44.

• Le, V. M., Gaudou, B., Taillandier, P., Vo, D. A (2013). A New BDI Architecture To Formalize Cognitive Agent Behaviors Into Simulations. In: Advanced Methods and Technologies for Agent and Multi-Agent Systems (KES-AMSTA 2013), Hue, Vietnam, 27/05/2013-29/05/2013, Vol. 252, Dariusz Barbucha, Manh Thanh Le, Robert J. Howlett, C. Jain Lakhmi (Eds.), IOS Press, Frontiers in Artificial Intelligence and Applications, p. 395-403.

2012

• Taillandier, P., Therond, O., Gaudou B. (2012), A new BDI agent architecture based on the belief theory. Application to the modelling of cropping plan decision-making. In ‘International Environmental Modelling and Software Society’, Germany, pp. 107-116.

• Taillandier, P., Therond, O., Gaudou B. (2012), Une architecture d’agent BDI basée sur la théorie des fonctions de croyance: application à la simulation du comportement des agriculteurs. In ‘Journées Francophones sur les Systèmes Multi-Agents’, France, pp. 107-116.

• NGUYEN, Quoc Tuan, Alain BOUJU, and Pascal ESTRAILLIER. “Multi-agent architecture with space-time components for the simulation of urban transportation systems.” (2012).

• Cisse, A., Bah, A., Drogoul, A., Cisse, A.T., Ndione, J.A., Kebe, C.M.F. & Taillandier P. (2012), Un modèle à base d’agents sur la transmission et la diffusion de la fièvre de la Vallée du Rift à Barkédji (Ferlo, Sénégal), Studia Informatica Universalis 10 (1), pp. 77-97.

• Taillandier, P., Amouroux, E., Vo, D.A. and Olteanu-Raimond A.M. (2012), Using Belief Theory to formalize the agent behavior: application to the simulation of avian flu propagation. In ‘The first Pacific Rim workshop on Agent-based modeling and simulation of Complex Systems (PRACSYS)’, India, Volume 7057/2012, pp. 575-587.

• Le, V.M., Adam, C., Canal, R., Gaudou, B., Ho, T.V. and Taillandier, P. (2012), Simulation of the emotion dynamics in a group of agents in an evacuation situation. In ‘The first Pacific Rim workshop on Agent-based modeling and simulation of Complex Systems (PRACSYS)’, India, Volume 7057/2012, pp. 604-619.

• Nguyen Vu, Q. A., Canal, R., Gaudou, B., Hassas, S., Armetta, F. (2012), TrustSets - Using trust to detect deceitful agents in a distributed information collecting system. In: Journal of Ambient Intelligence and Humanized Computing, Springer-Verlag, Vol. 3 N. 4, p. 251-263.

2011

• Taillandier, P. & Therond, O. (2011), Use of the Belief Theory to formalize Agent Decision Making Processes : Application to cropping Plan Decision Making. In ’25th European Simulation and Modelling Conference’, Guimaraes, Portugal, pp. 138-142.

• Taillandier, P. & Amblard, F. (2011), Cartography of Multi-Agent Model Parameter Space through a reactive Dicotomous Approach. In ’25th European Simulation and Modelling Conference’, Guimaraes, Portugal, pp. 38-42.

• Taillandier, P. & Stinckwich, S. (2011), Using the PROMETHEE Multi-Criteria Decision Making Method to Define New Exploration Strategies for Rescue Robots’, IEEE International Symposium on Safety, Security, and Rescue Robotics, Kyoto, Japon, pp. 321 - 326.

2010

• Nguyen Vu, Q.A. , Gaudou, B., Canal, R., Hassas, S. and Armetta, F. (2010), A cluster-based approach for disturbed, spatialized, distributed information gathering systems, in ‘The first Pacific Rim workshop on Agent-based modeling and simulation of Complex Systems (PRACSYS)’, India, pp. 588-603.

• Nguyen, N.D., Taillandier, P., Drogoul, A. and Augier, P. (2010), Inferring Equation-Based Models from Agent-Based Models: A Case Study in Competition Dynamics.In ‘The 13th International Conference on Principles and Practices in Multi-Agent Systems (PRIMA)’, India, Volume 7057/2012, pp. 413-427.

• Amouroux, E., Gaudou, B. Desvaux, S. and Drogoul, A. (2010), O.D.D.: a Promising but Incomplete Formalism For Individual-Based Model Specification. in ‘IEEE International Conference on Computing and Telecommunication Technologies ’(2010 IEEE RIVF’), pp. 1-4.

• Nguyen, N.D., Phan, T.H.D., Nguyen, T.N.A., Drogoul, A. and Zucker, J-D. (2010), Disk Graph-Based Model for Competition Dynamic, Paper to appear in ‘IEEE International Conference on Computing and Telecommunication Technologies ’(2010 IEEE RIVF’).

• Nguyen, T.K., Marilleau, N., Ho T.V. and El Fallah Seghrouchni, A. (2010), A meta-model for specifying collaborative simulation, Paper to appear in ‘IEEE International Conference on Computing and Telecommunication Technologies ’(2010 IEEE RIVF’).

• Nguyen Vu, Q.A. , Gaudou, B., Canal, R., Hassas, S. and Armetta, F. (2010), TrustSets - Using trust to detect deceitful agents in a distributed information collecting system, Paper to appear in ‘IEEE International Conference on Computing and Telecommunication Technologies ’(2010 IEEE RIVF’), the best student paper award.

• Nguyen Vu, Q.A. , Gaudou, B., Canal, R., Hassas, S., Armetta, F. and Stinckwich, S. (2010), Using trust and cluster organisation to improve robot swarm mapping, Paper to appear in ‘Workshop on Robots and Sensors integration in future rescue INformation system ’ (ROSIN 2010).

2009

• Taillandier, P. and Buard, E. (2009), Designing Agent Behaviour in Agent-Based Simulation through participatory method. In ‘The 12th International Conference on Principles and Practices in Multi-Agent Systems (PRIMA)’, Nagoya, Japan, pp. 571–578.

• Taillandier, P. and Chu, T.Q. (2009), Using Participatory Paradigm to Learn Human Behaviour. In ‘International Conference on Knowledge and Systems Engineering’, Ha noi, Viet Nam, pp. 55–60.

• Gaudou, B., Ho, T.V. and Marilleau, N. (2009), Introduce collaboration in methodologies of modeling and simulation of Complex Systems. In ‘International Conference on Intelligent Networking and Collaborative Systems (INCOS ‘09)’. Barcelona, pp. 1–8.

• Nguyen, T.K., Gaudou B., Ho T.V. and Marilleau N. (2009), Application of PAMS Collaboration Platform to Simulation-Based Researches in Soil Science: The Case of the MIcro-ORganism Project. In ‘IEEE International Conference on Computing and Telecommunication Technologies (IEEE-RIVF 09)’. Da Nang, Viet Nam, pp. 296–303.

• Nguyen, V.Q., Gaudou B., Canal R., Hassas S. and Armetta F. (2009), Stratégie de communication dans un système de collecte d’information à base d’agents perturbés. In ‘Journées Francophones sur les Systèmes Multi-Agents (JFSMA’09)’.

2008

• Chu, T.Q., Boucher, A., Drogoul, A., Vo, D.A., Nguyen, H.P. and Zucker, J.D. (2008). Interactive Learning of Expert Criteria for Rescue Simulations. In ‘Pacific Rim International Workshop on Multi-Agents’, Ha Noi, Viet Nam, pp. 127–138.

• Amouroux, E., Desvaux, S. and Drogoul, A. (2008), Towards Virtual Epidemiology: An Agent-Based Approach to the Modeling of H5N1 Propagation and Persistence in North-Vietnam. In ‘Pacific Rim International Workshop on Multi-Agents’, Ha Noi, Viet Nam, pp. 26–33.