The evolution of trust and trustworthiness
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Abstract (arXiv)
Trust and trustworthiness form the basis for continued social and economic interactions, and they are also fundamental for cooperation, fairness, honesty, and indeed for many other forms of prosocial and moral behavior. However, trust entails risks, and building a trustworthy reputation requires effort. So how did trust and trustworthiness evolve, and under which conditions do they thrive? To find answers, we operationalize trust and trustworthiness using the trust game with the trustor's investment and the trustee's return of the investment as the two key parameters. We study this game on different networks, including the complete network, random and scale-free networks, and in the well-mixed limit. We show that in all but one case the network structure has little effect on the evolution of trust and trustworthiness. Specifically, for well-mixed populations, lattices, random and scale-free networks, we find that trust never evolves, while trustworthiness evolves with some probability depending on the game parameters and the updating dynamics. Only for the scale-free network with degree non-normalized dynamics, we find parameter values for which trust evolves but trustworthiness does not, as well as values for which both trust and trustworthiness evolve. We conclude with a discussion about mechanisms that could lead to the evolution of trust and outline directions for future work.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Aug 2020.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 2; 2026: 1.
6 papers.
- 2024Language-based game theory in the age of artificial intelligencecited by 10
- 2022Social Diversity Reduces the Complexity and Cost of Fostering Fairnesscited by 7
- 2023A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainabilitycited by 7
- 2026Social physics in the age of artificial intelligencecited by 5
- 2025Cooperation Through Indirect Reciprocity in Child-Robot Interactionscited by 2
- 2025Dynamic Evolution of Complex Networks: A Reinforcement Learning Approach Applying Evolutionary Games to Community Structurecited by 1
- 2026Social physics in the age of artificial intelligence4 Mar 2026
- 2025Cooperation Through Indirect Reciprocity in Child-Robot Interactions7 Nov 2025
- 2025Dynamic Evolution of Complex Networks: A Reinforcement Learning Approach Applying Evolutionary Games to Community Structure22 Jun 2025
- 2024Language-based game theory in the age of artificial intelligence13 Mar 2024
- 2023A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainability27 Oct 2023
- 2022Social Diversity Reduces the Complexity and Cost of Fostering Fairness18 Nov 2022