The Spontaneous Emergence of Conventions: An Experimental Study of Cultural Evolution
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Abstract (arXiv)
How do shared conventions emerge in complex decentralized social systems? This question engages fields as diverse as linguistics, sociology and cognitive science. Previous empirical attempts to solve this puzzle all presuppose that formal or informal institutions, such as incentives for global agreement, coordinated leadership, or aggregated information about the population, are needed to facilitate a solution. Evolutionary theories of social conventions, by contrast, hypothesize that such institutions are not necessary in order for social conventions to form. However, empirical tests of this hypothesis have been hindered by the difficulties of evaluating the real-time creation of new collective behaviors in large decentralized populations. Here, we present experimental results - replicated at several scales - that demonstrate the spontaneous creation of universally adopted social conventions, and show how simple changes in a population's network structure can direct the dynamics of norm formation, driving human populations with no ambition for large scale coordination to rapidly evolve shared social conventions.
Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Feb 2015.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 3; 2025: 3; 2026: 7.
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- 2024Emergent social conventions and collective bias in LLM populationscited by 115
- 2021From partners to populations: A hierarchical Bayesian account of coordination and conventioncited by 27
- 2025Group size effects and collective misalignment in LLM multi-agent systemscited by 16
- 2025The Role of Social Learning and Collective Norm Formation in Fostering Cooperation in LLM Multi-Agent Systemscited by 8
- 2023Shaping New Norms for AIcited by 7
- 2024Static network structure cannot stabilize cooperation among Large Language Model agentscited by 4
- 2023Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minimacited by 2
- 2025Reply to "Emergent LLM behaviors are observationally equivalent to data leakage"cited by 2
- 2026Exploring the Topology and Memory of Consensus: How LLM Agents Agree, Fragment, or Settle When Forming Conventionscited by 2
- 2026Emergence of Biased Consensus in Multi-Agent LLM Debatescited by 2
- 2026Copying explains the collective behavior of AI agents in the wildcited by 1
- 2024How social reinforcement learning can lead to metastable polarisation and the voter modelcited by 0
4 more
- 2026Benchmarking large language model agent societies against human behavioural distributionscited by 0
- 2026AI agents reshape consensus formation in human groupscited by 0
- 2026Collective creativity in hybrid societiescited by 0
- 2026Indirect tipping: a social attack surface in AI agent populationscited by 0
- 2026Indirect tipping: a social attack surface in AI agent populations21 Sep 2026
- 2026Copying explains the collective behavior of AI agents in the wild8 Sep 2026
- 2026Collective creativity in hybrid societies2 Sep 2026
- 2026AI agents reshape consensus formation in human groups2 Sep 2026
- 2026Benchmarking large language model agent societies against human behavioural distributions28 Aug 2026
- 2026Emergence of Biased Consensus in Multi-Agent LLM Debates3 Aug 2026
- 2026Exploring the Topology and Memory of Consensus: How LLM Agents Agree, Fragment, or Settle When Forming Conventions2 Jun 2026
- 2025Group size effects and collective misalignment in LLM multi-agent systems25 Oct 2025
- 2025The Role of Social Learning and Collective Norm Formation in Fostering Cooperation in LLM Multi-Agent Systems16 Oct 2025
- 2025Reply to "Emergent LLM behaviors are observationally equivalent to data leakage"23 Jun 2025
- 2024Static network structure cannot stabilize cooperation among Large Language Model agents15 Nov 2024
- 2024Emergent social conventions and collective bias in LLM populations11 Oct 2024
4 more
- 2024How social reinforcement learning can lead to metastable polarisation and the voter model12 Jun 2024
- 2023Shaping New Norms for AI17 Jul 2023
- 2023Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minima8 Mar 2023
- 2021From partners to populations: A hierarchical Bayesian account of coordination and convention12 Apr 2021
- 2025Group size effects and collective misalignment in LLM multi-agent systemscited by 16
- 2025The Role of Social Learning and Collective Norm Formation in Fostering Cooperation in LLM Multi-Agent Systemscited by 8
- 2024Static network structure cannot stabilize cooperation among Large Language Model agentscited by 4
- 2026Exploring the Topology and Memory of Consensus: How LLM Agents Agree, Fragment, or Settle When Forming Conventionscited by 2
- 2026Emergence of Biased Consensus in Multi-Agent LLM Debatescited by 2
- 2026Benchmarking large language model agent societies against human behavioural distributionscited by 0
- 2026AI agents reshape consensus formation in human groupscited by 0
- 2026Indirect tipping: a social attack surface in AI agent populationscited by 0
- 2026Indirect tipping: a social attack surface in AI agent populations21 Sep 2026
- 2026AI agents reshape consensus formation in human groups2 Sep 2026
- 2026Benchmarking large language model agent societies against human behavioural distributions28 Aug 2026
- 2026Emergence of Biased Consensus in Multi-Agent LLM Debates3 Aug 2026
- 2026Exploring the Topology and Memory of Consensus: How LLM Agents Agree, Fragment, or Settle When Forming Conventions2 Jun 2026
- 2025Group size effects and collective misalignment in LLM multi-agent systems25 Oct 2025
- 2025The Role of Social Learning and Collective Norm Formation in Fostering Cooperation in LLM Multi-Agent Systems16 Oct 2025
- 2024Static network structure cannot stabilize cooperation among Large Language Model agents15 Nov 2024
- 2024Emergent social conventions and collective bias in LLM populationscited by 115
- 2021From partners to populations: A hierarchical Bayesian account of coordination and conventioncited by 27
- 2023Shaping New Norms for AIcited by 7
- 2023Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minimacited by 2
- 2025Reply to "Emergent LLM behaviors are observationally equivalent to data leakage"cited by 2
- 2026Copying explains the collective behavior of AI agents in the wildcited by 1
- 2024How social reinforcement learning can lead to metastable polarisation and the voter modelcited by 0
- 2026Collective creativity in hybrid societiescited by 0
- 2026Copying explains the collective behavior of AI agents in the wild8 Sep 2026
- 2026Collective creativity in hybrid societies2 Sep 2026
- 2025Reply to "Emergent LLM behaviors are observationally equivalent to data leakage"23 Jun 2025
- 2024Emergent social conventions and collective bias in LLM populations11 Oct 2024
- 2024How social reinforcement learning can lead to metastable polarisation and the voter model12 Jun 2024
- 2023Shaping New Norms for AI17 Jul 2023
- 2023Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minima8 Mar 2023
- 2021From partners to populations: A hierarchical Bayesian account of coordination and convention12 Apr 2021