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Evolution of Fear and Social Rewards in Prey-Predator Relationship

arXiv 2507.09992 ↗First posted 14 Jul 2025q-bio.PE cs.AI cs.NEcited by 0

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Abstract (arXiv)

Fear is a critical brain function that enables us to learn to avoid danger via reinforcement learning (RL). While many researchers have argued that fear has evolved to escape predators, how varying predatory pressures have shaped fear and other rewards, including positive social rewards for collective grouping, remains an open question. In this study, we investigate the relationship between predatory pressure and fear using an evolutionary simulation of RL agents with evolving rewards. In our simulation, prey and predator RL agents co-evolve their reward functions, including visual rewards for observing prey and predators. While fear-like negative visual rewards for predators often evolved in prey, we also observed cases in which positive rewards for both predators and prey evolved, the latter serving as a social reward for collective grouping. A comparison between different environmental conditions revealed that stronger predator hunting capability promoted stronger fear reward, while less food supply promoted more negative social reward. Moreover, fear did not evolve in response to static pitfalls with non-lethal damage, suggesting that actively hunting predators played an important role in its evolution. These results highlight the special role of predators in the diverse evolution of fear and social rewards.

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References · 5

  1. 2017Proximal Policy Optimization Algorithmscited by 15,215
  2. 2017Embodied Evolution in Collective Robotics: A Reviewcited by 15
  3. 2020Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learningcited by 4
  4. 2014Exploring the evolution of a trade-off between vigilance and foraging in group-living organismscited by 2
  5. 2024Evolution of Rewards for Food and Motor Action by Simulating Birth and Deathcited by 2

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  3. 2024Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms
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  6. 2026Learning Incentive Structures for Cooperative Resilience in Multi-Agent Systems under Social Dilemmas
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  8. 2025Avoiding Death through Fear Intrinsic Conditioning