Spite is contagious in dynamic networks

Abstract

Spite, costly behavior that harms others, presents an evolutionary puzzle: given that both the actor and recipient do worse, how could it emerge? We show that dynamically evolving interaction networks provide a novel explanation for the evolution of costly harm. Previous work has shown that anti-correlated interaction (e.g., negative assortment or negative relatedness) among behavioral strategies in populations can lead to the evolution of costly harm. We show that these approaches are blind to important features of interaction brought about by a co-evolution of network and behavior and that these features enable the emergence of spite. We analyze a new model in which agents can inflict harm on others at a cost to themselves, and simultaneously learn how to behave and with whom to interact. We find spite emerges reliably under a wide range of conditions. Our model reveals that when interactions occur in dynamic networks the population can exhibit correlated and anti-correlated behavioral interactions simultaneously, something not possible in standard models. In dynamic networks spite evolves due to transient and partial anti-correlated interaction, even when other behaviors are positively correlated and average degree of correlated interaction in the population is low.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 11, 2021
Source ID
10.1038/s41467-020-20436-1

Entities

People

  • Christoph Riedl
  • Patrick Forber
  • Rory Smead
  • Zachary Fulker

Organizations

  • Office of Naval Research

Tags

Fields of Study

  • Biology

Readers

  • Neural Network Machine Learning.
  • Optical Physics and Photonics.
  • Systems Analysis and Design