LIP6 2002/012
- Thesis
Modélisation de dynamiques de flux par agents. Application aux processus de ruissellement, infiltration et érosion - D. Servat
- 186 pages - 11/27/2000- document en - http://www.lip6.fr/lip6/reports/2002/lip6.2002.012.pdf - 3,104 Ko
- Contact : David.Servat (at) nulllip6.fr
- Ancien Thème : OASIS
- Keywords : Distributed AI, Agent-based modeling, Complex systems
- Publisher : Ghislaine.Mary (at) nulllip6.fr
The modelling of various natural and physical systems share a common interest in the study of flow dynamics. An account of a methodological research is presented which aims at applying agent-based systems to model such dynamics.
This approach rests upon a description of flows in terms of heterogeneous agents that interact in a continuous space, and whose various laws of interaction enable to account for the coupling of concurrent processes. By granting agents a capacity to recognize some remarkable situations of interaction, generic solutions have been developped to agentify the organizational modes that emerge during the course of simulations. This research has led to the development of the RIVAGE simulator of runoff, infiltration and erosion processes in the field of hydrological modelling.
This work puts emphasis on the properties that such an agent-based description of water flows show regarding the study of individual trajectories, the management of complex boundary conditions, the account of different situations of coupling between processes and the analysis of dynamics at different levels of aggregation.
Attempts have been made to apply the models developped in the field of hydrology to other domains of research, namely the modelling of crowd dynamics and the spatial organisation of information flows representation.
In the light of this research, agent-based systems turn out to be a valuable and relevant framework which federates particle-based and individual-based modelling. By putting forward such concepts as interaction, group and organisation, multi-agent systems offer some keys to the development of models which provide computational means to help the analysis of complex systems.
This approach rests upon a description of flows in terms of heterogeneous agents that interact in a continuous space, and whose various laws of interaction enable to account for the coupling of concurrent processes. By granting agents a capacity to recognize some remarkable situations of interaction, generic solutions have been developped to agentify the organizational modes that emerge during the course of simulations. This research has led to the development of the RIVAGE simulator of runoff, infiltration and erosion processes in the field of hydrological modelling.
This work puts emphasis on the properties that such an agent-based description of water flows show regarding the study of individual trajectories, the management of complex boundary conditions, the account of different situations of coupling between processes and the analysis of dynamics at different levels of aggregation.
Attempts have been made to apply the models developped in the field of hydrology to other domains of research, namely the modelling of crowd dynamics and the spatial organisation of information flows representation.
In the light of this research, agent-based systems turn out to be a valuable and relevant framework which federates particle-based and individual-based modelling. By putting forward such concepts as interaction, group and organisation, multi-agent systems offer some keys to the development of models which provide computational means to help the analysis of complex systems.