Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Dynamics in human and primate societies: agent-based modeling of social and spatial processes
Dynamics in human and primate societies: agent-based modeling of social and spatial processes
Continuous Spatial Automata
Agent-based simulation for large-scale emergency response: A survey of usage and implementation
ACM Computing Surveys (CSUR)
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After focusing on proofs of principle and feasibility, the new generation of agent-based applications is becoming more realistic. The use of real-world data, particularly geospatial information system (GIS) data, to set up the environment is one of the resulting challenges to be solved. This paper compares two possible approaches: discrete and continuous agent space modeling. NetLogo, Swarm, Repast, OBEUS, and UrbanSim are evaluated with regard to support of these ideas for agent space modeling. The results presented show that first applications are possible, but that more community support is needed.