Tuning Agent-Based Predator-Prey Models Toward Lotka-Volterra Dynamics
Researchers have developed a method to tune agent-based predator-prey models to better align with Lotka-Volterra dynamics. This approach uses a feature-based loss function to optimize environmental and demographic parameters, rewarding sustained oscillations, phase lag, and population boundedness. The model, implemented in the JAX-based ABMax framework, allows for efficient, batched simulations on hardware accelerators, enabling more complex adaptive system simulations. AI
IMPACT This research offers a novel method for simulating complex adaptive systems, potentially improving the accuracy and stability of agent-based models in ecological and other domains.