Designing and Implementing Multi Agent Geosimulation

  • Jamal Jokar Arsanjani
Part of the Springer Theses book series (Springer Theses)


In this chapter the proposed ABM will be explained in detail. The previous chapter presented different scenarios such as cellular automata, Markov model, CA-Markov model and logistic regression model. The advantages and disadvantages of each model were established and integrated into the ABM model. In this chapter, we start with the classification of agents into three types: resident agents, developer agents, government agents. Each agent controls the variety of behaviour arising from that particular agent. Therefore, behaviours are modelled to figure out their specific interactions. Finally, the presumed agents are combined together to project mutual interactions between themselves.


Road Network Government Agent Risk Zone Land Change Resident Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Li X, Liu X (2007) Defining agents’ behaviors to simulate complex residential development using multicriteria evaluation. J Environ Manag 85(4):1063–1075CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg  2012

Authors and Affiliations

  1. 1.Department of Geography and Regional ResearchUniversity of ViennaViennaAustria

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