Spatially Explicit Individual-Based Ecological Modeling with Mobile Fuzzy Agents
作者： Vincent B. Robinson , Phil A. Graniero
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摘要: Previous theoretical work illustrated how fuzzy spatial relations can be used to control the movement of mobile agents in spatially explicit individualbased ecological models (Robinson 2002). We present a computational framework and methodology for modeling small mammals as making decisions during dispersal process. It is shown this object-oriented accommodate uncertainty geographic information well inherent fuzziness decision A model presented along with its corresponding crisp equivalent. Using realistic landscape, simulations are explore behavior relative compensatory noncompensatory aggregation operators. Simulations compare versus behaviors. Results evaluate strengths weaknesses each. that approach developing individual-based address problems dependent on being based systems environment.
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