Thank you @ignat1.bsky.social for inviting me to contribute!

More info: game-theory-school.kse.ua

Our framework offers a rigorous foundation for understanding how social norms evolve and persist, even when people sometimes misjudge, act randomly, or punish at a cost.

It unifies earlier results and opens the door to studying robust cooperation in complex societies.

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Some of these norms are especially interesting: they fix the payoff of any mutant strategy, similar to zero-determinant strategies in direct reciprocity (Press & Dyson 2012).

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In our new work, we analytically characterize all stable norms under public assessment.

✅ We recover the known cooperative norms
✅ We extend to cases with errors and costly punishment
✅ And we discover new, more general stable norms

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Previous studies found a few “good” norms (like the famous leading eight) that can sustain cooperation.

But we still lacked a complete analytical characterization of all evolutionarily stable norms, especially when actions or judgments are noisy, or when punishment is possible.

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Indirect reciprocity means:

👉 I help you,
👉 others see that,
👉 and later, someone else helps me.

This works only if society shares a norm about who deserves help. These norms link actions to reputations, and reputations to future treatment.

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Great food, inspiring scientific discussions, and drinking sessions 🍻🙈

It was also my first time visiting Korea, and definitely not the last 🇰🇷✨

🔗 www.apctp.org/theme/d/html...

If you're curious about my talk, the materials are available on GitHub: github.com/Nikoleta-v3/... 📚

It was also my first time visiting China, and it’s safe to say I’ll be going back soon!

Here are a few random pictures from Hangzhou and Beijing.

Thank you Diogo 🙏🏻🥳

Hahaha my moment of fame! Thank you for sharing 🙌🏻☺️

Thank you 😁

Thank you very much Catherine! 🙌🏻

Thank you! Looking forward to inviting you here soon 😁🙌🏻