Forthcoming
Norm heterogeneity and the emergence of cooperation: A spatial agent-based model of conditional cooperation
with Steven G.M. Schilizzi, Chi Nguyen, and David J. Pannell
Journal of Artificial Societies and Social Simulation (JASSS)
Presented at 7th World Congress of Environmental and Resource Economists (WCERE 2026)
The resolution of collective-action problems often depends on social norms and pressure to conform to group behaviour, yet individuals typically differ in how strongly they perceive and internalise these norms. While existing models of norm change and social tipping often assume homogeneous and static normative expectations, recent evidence suggests substantial heterogeneity in the perceived norm strength. We study how different compositions of such heterogeneity within a community shape the emergence and internalisation of cooperative behaviour. We develop a spatial agent-based model in which agents follow a conditional-cooperation norm but differ in norm strength, characterised as either tight or loose. Agents interact locally and update their cooperation thresholds endogenously through a combination of payoff-driven learning and social learning from experiencing group behaviour. Our results show that introducing a moderate share of loose-norm individuals into otherwise tight-dominated communities can facilitate the emergence of cooperative tipping points by enabling cooperation to seed and spread locally, even when agents place zero weight on social-relative-to-financial learning. However, whether cooperation becomes internalised and persists depends critically on the relative weight given to social and financial learning. A higher weight on social learning amplifies local behavioural feedbacks, sharpens tipping-point dynamics, and allows agents with tight social norms to internalise cooperation such that it can be sustained with fewer cooperating group members. Once cooperation spreads, conformity pressure stabilises cooperative behaviour among loose-social-norm agents. Taken together, our findings highlight the importance of community composition and norm-strength heterogeneity for collective-action dynamics, and show how heterogeneity in perceived norm strength can generate abrupt and persistent transitions in cooperative behaviour.
social norms
conditional cooperation
norm strength heterogeneity
social tipping points
spatial agent-based model
Job Market Paper
Open Access
How does experienced behaviour change normative expectations regarding socially beneficial actions?
with Steven G.M. Schilizzi and Chi Nguyen
Journal of Behavioral and Experimental Economics
Social norms, understood as shared expectations of appropriate behaviour, can help resolve collective action problems by making salient collectively beneficial equilibria. However, achieving long-lasting behaviour of this type remains challenging, partly because how different social contexts shape individuals' normative expectations is not well understood. This study uses a controlled laboratory experiment to collect panel data on how individuals' normative expectations regarding public good (PG) contributions evolve across two sequential social contexts. Using Krupka and Weber's (2013) method, we elicited expectations at three points: before a repeated PG game, after it, and after a subsequent PG game in which group members can convey a normative signal through a social exclusion mechanism. Participants first experienced declining contributions in the Baseline PG game, followed by higher contributions when the exclusion mechanism was introduced. After the initial decline, participants' norm profiles in uncooperative scenarios clustered around lower contributions. Conversely, after experiencing higher contributions under the exclusion mechanism—which provided a cooperative normative signal—normative expectations shifted towards favouring greater contributions. This effect was strongest among participants who initially perceived loose norms. Our findings highlight heterogeneity in how norms are perceived and change, offering experimental evidence on the factors that drive beneficial normative change.
social norms
normative expectations
normative change
laboratory experiments
collective-action problems