Study of Pattern Formation by Peafowl using LEM Multi-Agent Simulator
We present here a multiagent model of space utilization using LEM (Logic for Eco-Modeling) simulator and also discuss an uncommon interspecific relation that we discovered during the simulations. Our work involved a qualitative analysis of local routes selected by the peafowl within a real ecosystem. A simple model of route selection and adaptation to the food sources, that provide food at specific intervals of time as inspired by the real world observations is discussed in the paper. The model allows explaining the formation of patterns of daily movement that are observed in behavior of many bird species. LEM model editor provides facilities for specification of rules for an agent’s behavior. This allows studying the consequences of different assumptions about agent’s behavior and agent’s interaction. Here we present the results of a series of simulation experiments on space utilization by artificial species “&” that mimic spatio-temporal behavior of real peafowl species. The individuals act according to simple, biologically plausible rules. We observed various biologically plausible patterns of social organization emerging as consequences of simple behavioral rules. The most significant effect registered is the induction of behavioral change in “&” species due to the presence of another species that influence spatial adaptation of “&” and dramatically change dynamics of “&” population. We termed this uncommon effect as ethobiosis. These models also calibrate the simulator against real-world systems and demonstrate the simulator’s strength for ecological modeling.
Key Wordspatterns of social organization route selection dynamics individual-based behavior ethobiosis
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