Developing an artificial ecology for use as a strategic management tool: A case study of ibex hunting in the North Tien Shan

摘要: We develop an artificial ecology that simulates the interaction between hunter decisions and prey behaviour, using ibex hunting in North Tien Shan Mountains as a case study. The aim is to model behaviour at low enough level overall population dynamics costs are emergent properties of system rather than being assumed, usually case. A genetic algorithm linked neural networks used evolve about where hunt. demonstrate importance number people hunting, which determined by profitability key driver dynamics. fundamental difference emerges outcomes on approach equilibrium, after stochastic equilibrium had been reached, with extinction common virtually non-existent thereafter. This probably reflects naive commencement hunting. framework developed here flexible transferable, particularly useful for strategic testing management strategies.