Effect of chaotic agent dynamics on coevolution of cooperation and synchronization
Rohitashwa Chattopadhyay, Shubhadeep Sadhukhan, Sagar Chakraborty

TL;DR
This study investigates how chaotic agent dynamics influence the coevolution of cooperation and synchronization in structured populations, revealing that synchronization persists beyond critical coupling levels and supports sustained cooperation.
Contribution
It introduces a coupled map lattice model with chaotic dynamics on Watts--Strogatz networks, showing novel effects of chaos on synchronization and cooperation evolution.
Findings
Synchronization occurs beyond a critical coupling strength.
Finite cooperation persists even at high average degrees.
Chaos influences the emergence of cooperation through synchronization.
Abstract
The effect of the chaotic dynamical states of the agents on the coevolution of cooperation and synchronization in a structured population of the agents remains unexplored. With a view to gaining insights into this problem, we construct a coupled map lattice of the paradigmatic chaotic logistic map by adopting the Watts--Strogatz network algorithm. The map models the agent's chaotic state dynamics. In the model, an agent benefits by synchronizing with its neighbours and in the process of doing so, it pays a cost. The agents update their strategies (cooperation or defection) by using either a stochastic or a deterministic rule in an attempt to fetch themselves higher payoffs than what they already have. Among some other interesting results, we find that beyond a critical coupling strength, that increases with the rewiring probability parameter of the Watts--Strogatz model, the coupled map…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
