From information free-riding to information sharing: how have humans solved the cooperative dilemma at the heart of cumulative cultural evolution?

Cumulative cultural evolution, where populations accumulate ever-improving knowledge, technologies and social customs, is arguably a unique feature of human sociality and responsible for our species' ecological dominance of the planet. However, at the heart of cumulative cultural evolution is a cooperative dilemma. Assuming asocial learning is more costly than social learning, social learners can act as 'information free-riders' by copying innovations from asocial learners without paying the cost. This cost asymmetry will reduce innovation, inhibiting cumulative culture. Innovators might respond by protecting their knowledge and keeping the benefits to themselves-'information hoarding'-but then others cannot build on their discoveries and again cumulative culture is inhibited. Here we formally model information free-riding and information hoarding within a cumulative cultural evolution framework using both analytical and agent-based models. Model 1 identifies the conditions under which information sharing can evolve in the face of information free-riding and hoarding. Models 2-4 then show how three mechanisms known to favour cooperation in non-informational contexts-kin selection, partner choice and cultural group selection-can also solve the informational cooperative dilemma and facilitate cumulative cultural evolution, each with distinct signatures potentially detectable in historical, ethnographic and other empirical data. This article is part of the theme issue 'Transforming cultural evolution research and its application to global futures'.

Authors

Institutions

Publication Details

Journal
Philosophical Transactions of the Royal Society B Biological Sciences
Published
2025-12-04
DOI
https://doi.org/10.1098/rstb.2024.0258
Citations
1
Primary Topic
Language and cultural evolution
Type
article
Field-Weighted Citation Impact
16.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From information free-riding to information sharing: how have humans solved the cooperative dilemma at the heart of cumulative cultural evolution?

Keith Jensen, Ángel V. Jiménez, Lei Chang, Alex Mesoudi
1 citations
Philosophical Transactions of the Royal Society B Biological Sciences
Language and cultural evolution
16.49
article

From information free-riding to information sharing: how have humans solved the cooperative dilemma at the heart of cumulative cultural evolution?

Keith Jensen, Ángel V. Jiménez, Lei Chang, Alex Mesoudi
article en
1 citations

Abstract

Cumulative cultural evolution, where populations accumulate ever-improving knowledge, technologies and social customs, is arguably a unique feature of human sociality and responsible for our species' ecological dominance of the planet. However, at the heart of cumulative cultural evolution is a cooperative dilemma. Assuming asocial learning is more costly than social learning, social learners can act as 'information free-riders' by copying innovations from asocial learners without paying the cost. This cost asymmetry will reduce innovation, inhibiting cumulative culture. Innovators might respond by protecting their knowledge and keeping the benefits to themselves-'information hoarding'-but then others cannot build on their discoveries and again cumulative culture is inhibited. Here we formally model information free-riding and information hoarding within a cumulative cultural evolution framework using both analytical and agent-based models. Model 1 identifies the conditions under which information sharing can evolve in the face of information free-riding and hoarding. Models 2-4 then show how three mechanisms known to favour cooperation in non-informational contexts-kin selection, partner choice and cultural group selection-can also solve the informational cooperative dilemma and facilitate cumulative cultural evolution, each with distinct signatures potentially detectable in historical, ethnographic and other empirical data. This article is part of the theme issue 'Transforming cultural evolution research and its application to global futures'.

Philosophical Transactions of the Royal Society B Biological SciencesVol. 380(1940)
University of Macau (MO), University of Exeter (GB), University of Manchester (GB)
Openalex Percentile: Top 1%
Language and cultural evolution
16.49
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.