The Emergence of Consensus: A Primer
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Abstract (arXiv)
The origin of population-scale coordination has puzzled philosophers and scientists for centuries. Recently, game theory, evolutionary approaches and complex systems science have provided quantitative insights on the mechanisms of social consensus. However, the literature is vast and widely scattered across fields, making it hard for the single researcher to navigate it. This short review aims to provide a compact overview of the main dimensions over which the debate has unfolded and to discuss some representative examples. It focuses on those situations in which consensus emerges 'spontaneously' in absence of centralised institutions and covers topic that include the macroscopic consequences of the different microscopic rules of behavioural contagion, the role of social networks, and the mechanisms that prevent the formation of a consensus or alter it after it has emerged. Special attention is devoted to the recent wave of experiments on the emergence of consensus in social systems.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Apr 2017.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 1; 2024: 3; 2025: 3; 2026: 2.
11 papers.
- 2024Emergent social conventions and collective bias in LLM populationscited by 115
- 2025Group size effects and collective misalignment in LLM multi-agent systemscited by 16
- 2021Machine learning dismantling and early-warning signals of disintegration in complex systemscited by 14
- 2023Shaping New Norms for AIcited by 7
- 2025Collective Reasoning Among LLMs: A Framework for Answer Validation Without Ground Truthcited by 7
- 2024Enhancing Answer Reliability Through Inter-Model Consensus of Large Language Modelscited by 6
- 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
- 2021The Impact of Network Connectivity on Collective Learningcited by 1
- 2024High-fidelity social learning via shared episodic memories enhances collaborative foraging through mnemonic convergencecited 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
- 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
- 2025Reply to "Emergent LLM behaviors are observationally equivalent to data leakage"23 Jun 2025
- 2025Collective Reasoning Among LLMs: A Framework for Answer Validation Without Ground Truth28 Feb 2025
- 2024High-fidelity social learning via shared episodic memories enhances collaborative foraging through mnemonic convergence28 Dec 2024
- 2024Enhancing Answer Reliability Through Inter-Model Consensus of Large Language Models25 Nov 2024
- 2024Emergent social conventions and collective bias in LLM populations11 Oct 2024
- 2023Shaping New Norms for AI17 Jul 2023
- 2021The Impact of Network Connectivity on Collective Learning1 Jun 2021
- 2021Machine learning dismantling and early-warning signals of disintegration in complex systems7 Jan 2021