Analyzing the Parameters of Prey-Predator Models for Simulation Games

Abstract—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.

• Type: Journal
• Year: 2010
• Where: IWEC
• Authors: Seongdong Kim, Christoph Hoffmann, Varun Ramachandran
• Keywords: Applied Computing, IWEC 2010, Parameters, Rule-based Agent Behavior, Simulation