Information sharing for a coordination game in fluctuating environments.

Area of Science:

• Social and Biological Sciences
• Game Theory
• Behavioral Ecology

Background:

• Collective action dilemmas are common in nature, requiring individuals to adapt behavior based on environmental cues.
• When cues involve signals from others, individual actions become interdependent, complicating decision-making.

Purpose of the Study:

• To develop a framework for quantifying information sharing's impact on individual behavior in two-player coordination games.
• To analyze how different information acquisition strategies affect group decision-making under environmental uncertainty.

Main Methods:

• A game-theoretic framework was developed for a two-player coordination game with a stochastically switching environment.
• Two models were analyzed: one with private cues only, and another incorporating shared social cues.
• Nash equilibria and fitness-maximizing strategies were identified for each model.

Main Results:

• Without communication, individuals adopt commitment strategies with poor information and phenotypic plasticity with good information.
• When social information quality is high, a novel "majority logic" strategy emerges as socially optimal.
• The study quantifies the influence of information sharing on coordinated behavior.

Conclusions:

• Information sharing significantly alters optimal strategies in collective action dilemmas.
• Social cues can facilitate more effective group decision-making, particularly through strategies like "majority logic".
• The game-theoretic approach provides a robust method for studying communication's role in uncertain group coordination.