Abstract
In this research a new agent based approach for simulating complex systems with spatial dynamics is presented. We propose an architecture based on coupling between two systems: multi-agent systems and geographic information systems. We also propose a generic model of agent-oriented simulation that we will apply to the field of land use planning. In fact, simulating the evolution of the urban system is a key to help decision makers to anticipate the needs of the city in terms of installing new equipment and opening new urbanization’ areas to install the new population.
Highlights
A great part of the challenge of modeling and simulating interactions between natural and social processes has to do with the fact that processes in these systems result in complex temporal-spatial behavior
We propose a generic agent-oriented model for simulating complex systems with spatial dynamics
Manipulation:Once data are stored in a geographic information system (GIS), many manipulation options are available to users
Summary
A great part of the challenge of modeling and simulating interactions between natural and social processes has to do with the fact that processes in these systems result in complex temporal-spatial behavior. To deal with this problem, we propose a general architecture based on two modules:. A MAS module: to represent the interactions between the different agents of the system. We propose a generic agent-oriented model for simulating complex systems with spatial dynamics. We will study the urban system and simulate its long term evolution through a backdrop of demographic change in a temporal-spatial heterogeneous environment. Our objective is to understand how public policy can influence the transformation of cities, especially in regard to the opening of new urban’ areas and installing new equipments
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