Group chasing tactics: how to catch a faster prey?

Abstract

We propose a bio-inspired, agent-based approach to describe the natural phenomenon of group chasing in both two and three dimensions. Using a set of local interaction rules we created a continuous-space and discrete-time model with time delay, external noise and limited acceleration. We implemented a unique collective chasing strategy, optimized its parameters and studied its properties when chasing a much faster, erratic escaper. We show that collective chasing strategies can significantly enhance the chasers' success rate. Our realistic approach handles group chasing within closed, soft boundaries - contrasting most of those published in the literature with periodic ones -- and resembles several properties of pursuits observed in nature, such as the emergent encircling or the escaper's zigzag motion.

References in corpus (5)

• Novel type of phase transition in a system of self-driven particles
• Collective motion
• Survival of an evasive prey
• Group Chase and Escape
• On the critical behavior of a lattice prey-predator model

Cited by in corpus (9)

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• ARBoids: Adaptive Residual Reinforcement Learning With Boids Model for Cooperative Multi-USV Target Defense
• Effect of inertia on the evasion and pursuit dynamics of prey swarms and the emergence of an optimal mass ratio for the predator-prey arms race
• Co-Training an Observer and an Evading Target
• A Dynamical Trap Made of Target-Tracking Chasers