MASON: A Multiagent Simulation Environment
Simulation
Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
PRIMA '08 Proceedings of the 11th Pacific Rim International Conference on Multi-Agents: Intelligent Agents and Multi-Agent Systems
GAMA: An Environment for Implementing and Running Spatially Explicit Multi-agent Simulations
Agent Computing and Multi-Agent Systems
Estimating the density of brown plant hoppers from a light-traps network based on unit disk graph
AMT'11 Proceedings of the 7th international conference on Active media technology
Proceedings of the Second Symposium on Information and Communication Technology
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Two types of model, equation-based models (EBMs) and agent-based models (ABMs) are now widely used in modeling ecological complex systems and seem not to be reconciled. While ABMs can help in exploring and explaining the local causes of global phenomena, EBMs are useful for predicting their long-term evolution without having to explore them through simulated experiments. In this paper, we show that it is possible to use an ABM to infer an EBM. Base on the case study, a dynamics of two competing species, we illustrate our methodology through the presentation of two models: an ABM and an EBM. We also show that the two models give the same results on coexistence of the two competing species.