Predicting success of cooperators across arbitrary heterogeneous environmental landscapes
Amir Kargaran, Kamran Kaveh, Krishnendu Chatterjee

TL;DR
This paper introduces a framework to predict how spatial environmental heterogeneity influences the evolution of cooperation, emphasizing the role of environmental organization and a key metric called the spatial correlation index.
Contribution
It provides a unifying model linking environmental spatial patterns to cooperative success, introducing the SCI as a predictor for fixation probability.
Findings
Segregated environments promote cooperation under weak selection.
Intermixed landscapes suppress cooperation and lead to faster fixation.
Environmental organization controls both cooperation levels and evolutionary timescales.
Abstract
Cooperation is central to the organization of complex biological and social systems. Most theoretical models assume homogeneous environments; in reality, populations inhabit spatially varying landscapes in which the payoffs of cooperation differ across space. Here, we introduce a general framework for the evolution of cooperation in complex, heterogeneous environments where the benefit of cooperation depends on local environmental quality. Cooperators in environmentally rich sites confer greater benefits than those on poor sites. We show that whether heterogeneity promotes or suppresses cooperation is determined primarily by the spatial organization of environmental states. Across arbitrary environmental landscapes, a single quantity, the spatial correlation index (SCI), predicts the fixation probability of cooperators. Under weak selection, segregated environments enhance cooperation,…
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.
