Out-earning or outnumbering: Two routes to cooperation in the fixed-role trust game on structured populations

Trust underlies cooperation, but sustaining it is individually costly and difficult under rational self-interest. In the trust game, a trustor invests part of an endowment and a trustee returns a share of the multiplied proceeds. Under fixed roles on a square lattice, agents play only with orthogonal neighbors of opposite-roles, but mimic diagonal neighbors of the same-role, decoupling interaction from imitation networks. Trust that collapses in well-mixed populations can instead co-evolve with trustworthiness on the lattice within a narrow range of the return parameter under strong selection. Comparing update rules uncovers two distinct routes to cooperation. First, pairwise imitation depends on reciprocators (that is, reciprocating trustees) outperforming betrayers through local assortment, forming clusters of trustworthy trustees around generous trustors. In contrast, a neighborhood rule allows the local majority of reciprocators convert an isolated betrayer regardless of the payoff, outnumbering betrayers rather than out-earning them. This collective-recruitment route sustains trust-reciprocate interactions over a wider range of the return parameter. The two routes differ, however, in what they require: pairwise spread needs only cross-role assortment and still produces cooperation on a geometry-free degree-regular network, whereas collective recruitment does not survive that change. Degree heterogeneity adds no route of its own, and whether it leaves cooperation standing depends on which role carries it and on how payoffs are aggregated. Of the structures examined here, only the lattice supports both routes.

Authors

Institutions

Publication Details

Journal
Knowledge-Based Systems
Published
2026-11-01
DOI
https://doi.org/10.1016/j.knosys.2026.117282
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Out-earning or outnumbering: Two routes to cooperation in the fixed-role trust game on structured populations

Zhao Song, Manuel Chica, Víctor A. Vargas-Pérez, The Anh Han
Knowledge-Based Systems
Evolutionary Game Theory and Cooperation
article

Out-earning or outnumbering: Two routes to cooperation in the fixed-role trust game on structured populations

Zhao Song, Manuel Chica, Víctor A. Vargas-Pérez, The Anh Han
article en

Abstract

Trust underlies cooperation, but sustaining it is individually costly and difficult under rational self-interest. In the trust game, a trustor invests part of an endowment and a trustee returns a share of the multiplied proceeds. Under fixed roles on a square lattice, agents play only with orthogonal neighbors of opposite-roles, but mimic diagonal neighbors of the same-role, decoupling interaction from imitation networks. Trust that collapses in well-mixed populations can instead co-evolve with trustworthiness on the lattice within a narrow range of the return parameter under strong selection. Comparing update rules uncovers two distinct routes to cooperation. First, pairwise imitation depends on reciprocators (that is, reciprocating trustees) outperforming betrayers through local assortment, forming clusters of trustworthy trustees around generous trustors. In contrast, a neighborhood rule allows the local majority of reciprocators convert an isolated betrayer regardless of the payoff, outnumbering betrayers rather than out-earning them. This collective-recruitment route sustains trust-reciprocate interactions over a wider range of the return parameter. The two routes differ, however, in what they require: pairwise spread needs only cross-role assortment and still produces cooperation on a geometry-free degree-regular network, whereas collective recruitment does not survive that change. Degree heterogeneity adds no route of its own, and whether it leaves cooperation standing depends on which role carries it and on how payoffs are aggregated. Of the structures examined here, only the lattice supports both routes.

Knowledge-Based Systems
Universidad de Granada (ES), University of Newcastle Australia (AU), Teesside University (GB)
Openalex Percentile: Top 5%
Evolutionary Game Theory and Cooperation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Out-earning or outnumbering: Two routes to cooperation in the fixed-role trust game on structured populations — Zhao Song, Manuel Chica, et al. · Knowledge-Based Systems (2026) | TGRS Research Map | TGRS