Collective Adaptation in Multi-Agent Systems: How Predator Confusion Shapes Swarm-Like Behaviors
Georgi Ivanov, George Palamas

TL;DR
This paper investigates how predator confusion influences the evolution of swarm-like behaviors in multi-agent systems, demonstrating that risk dilution and information exchange variations shape collective adaptation through reinforcement learning.
Contribution
It introduces a predator confusion hypothesis as a driver for the emergence of group formations and compares local versus global perception models in evolving collective behaviors.
Findings
Dilution of risk promotes group formation in prey agents.
Predator confusion can drive the evolution of collaborative behaviors.
Variations in information exchange affect collective behavior dynamics.
Abstract
Popular hypotheses about the origins of collective adaptation are related to two basic behaviours: protection from predators and a combined search for food resources. Among the anti-predator explanations, the predator confusion hypothesis suggests that groups of individuals moving in a swarm aim to overwhelm the predator while the dilution of risk hypothesis suggests that the probability of a single prey being targeted by a predator is lower in larger groups. In this paper, we explore how emergent behaviors arise from a predator-driven process as an adaptive response to external stimuli perceived as threatening. Moreover, we suggest a predator confusion process to provide a selective pressure for the prey to evolve group formations. We analyze the foraging and prey-predator dynamics evolved in terms of group density and formation, behavior consistency, predator evasion and success rate,…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Evolution and Genetic Dynamics · Mathematical and Theoretical Epidemiology and Ecology Models
