Analyzing the Parameters of Prey-Predator Models for Simulation Games

نویسندگان

  • Seongdong Kim
  • Christoph Hoffmann
  • Varun Ramachandran
چکیده

We describe and analyze emergent behavior and its effect for a class of preypredators’ simulation models. The simulation uses rule-based agent behavior and follows a prey-predator structure modulated by a number of user-assigned parameters. As part of our analysis, we present key parameter estimations for mapping the prey-predators’ simulation parameters to a functional relationship with the LV(Lotka-Volterra) model, and how the parameters interact and drive the evolution of the simulation.

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تاریخ انتشار 2010