Michael Muthukrishna

Michael Muthukrishna

@michael.muthukrishna.com

Prof. #NYU & #LSE. Author: A Theory of Everyone. Researching & spreading the word on how humans evolved & what that means for us today. www.atheoryofeveryone.com

1.1K followers517 following82 posts

Michael Muthukrishna reposted

🚨 Applied Cultural Evolution Brownbag Series 🚨 Two inaugural discussions: Oct 7 What is (uniquely) applied cultural evolution? Caroline Graf, U. Zurich Dec 9 What can cultural evolution offer climate adaptation practitioners? Christine Lindell, World Vision Australia tinyurl.com/3st6zy79

🚨 New paper in @NatureComms: (annoyingly) using college students to study cross-cultural effects underestimates the size of cultural differences. More education predicts more Westernization. Income & status don't. w/ Cindel White. 1/

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This may be because formal education is a specific cultural download that reflects its Western origins. It's not just content, it teaches patience, delayed gratification (study now for tests later), self-control (sit still & stay quiet), individualism (grades & achievements), & analytic thinking. 5/

🚨 New paper in @NatureComms: (annoyingly) using college students to study cross-cultural effects underestimates the size of cultural differences. More education predicts more Westernization. Income & status don't. w/ Cindel White. 1/

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It's not so much that education makes you American, just more Western. We re-ran the analysis using every country as the reference point & found the same effect for Sweden, the Netherlands, & other Western countries. There's no such correlation w/ non-Western powers such as China, Russia or India 4/

🚨 New paper in @NatureComms: (annoyingly) using college students to study cross-cultural effects underestimates the size of cultural differences. More education predicts more Westernization. Income & status don't. w/ Cindel White. 1/

A highly educated Russian is as culturally close to the US as the average NZer (CFst=0.086 vs 0.081). Less educated Russians are far more distant (0.358). In 70% of countries, the well-educated are WEIRDer & the widest gaps are on sexuality & group membership. 2/ Paper:

nature.comHigher education predicts global cultural similarity to WEIRD countriesNature Communications - Psychology studies are becoming more global, yet often rely on highly educated participants. The authors find, across 95 countries, that higher education predicts cultural...

🚨 PNAS paper: "Indirect reciprocity undermines indirect reciprocity destabilizing large-scale cooperation" w/ Eric Schnell How do we achieve global cooperation on climate or conflict reduction? The problem isn't selfishness as much as it is cooperation itself - at a smaller scale. 1/

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The local group are people you interact with regularly. They affect your life the most. They should care more that you're a good neighbor, friend, or family member than a climate change activist. Key result: Local cooperation should undermine global cooperation when in conflict. 5/

🚨 PNAS paper: "Indirect reciprocity undermines indirect reciprocity destabilizing large-scale cooperation" w/ Eric Schnell How do we achieve global cooperation on climate or conflict reduction? The problem isn't selfishness as much as it is cooperation itself - at a smaller scale. 1/

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The problem is that the model assumes we belong to one group, w/ one reputation. We don't. The manager hiring his cousin is a bad manager but a useful family member. The official who lets a friend bypass the visa queue is a bad civil servant, but a good friend. 3/ Paper:

pnas.orgIndirect reciprocity undermines indirect reciprocity destabilizing large-scale cooperation | PNASPrevious models suggest that indirect reciprocity (reputation) can stabilize large-scale human cooperation [K. Panchanathan, R. Boyd, Nature 432, 499–502 (2004)]. The logic behind these models and ...

Nepotism, cronyism, and other forms of corruption aren't failures of cooperation - they *are* cooperation, but on a lower scale. Our new model extends P&B (2004) but puts people in 2 groups - a local group (L) & a global group (G), w/ the choice to contribute to either or none. 4/

🚨 PNAS paper: "Indirect reciprocity undermines indirect reciprocity destabilizing large-scale cooperation" w/ Eric Schnell How do we achieve global cooperation on climate or conflict reduction? The problem isn't selfishness as much as it is cooperation itself - at a smaller scale. 1/

In a landmark Nature paper, Panchanathan & Boyd (2004) developed an elegant model showing how reputation can sustain large-scale cooperation: we prefer to help those who've contributed to the public good. If I know you're a patriot or support climate action, I'm more likely to help you elsewhere 2/

🚨 New paper in iScience: "Ecological not social factors explain brain size in cephalopods" In 2017, we published the Cultural Brain Hypothesis, a model of human brain evolution. It made an unexpected prediction: non-social animals could evolve big brains too, if their ecology was rich enough. 1/

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🚨 New paper in iScience: "Ecological not social factors explain brain size in cephalopods" In 2017, we published the Cultural Brain Hypothesis, a model of human brain evolution. It made an unexpected prediction: non-social animals could evolve big brains too, if their ecology was rich enough. 1/

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Important caveats: data and phylogenetically controlled models alone don't tell you the causal mechanism. That's why formal theory is useful - you can model assumptions and logic for possible mechanisms. A lot of the paper explains the role of theory in helping us interpret non-causal analyses. 10/

Brain data also only exists for 79 of ~820 living cephalopod species, and whole brain size misses lobe structure/neuron counts. The available species do span a wide range of sizes, habitats, & phylogeny, and sensitivity checks were consistent, but even so we don't have data for 90% of ceph. 11/

🚨 New paper in iScience: "Ecological not social factors explain brain size in cephalopods" In 2017, we published the Cultural Brain Hypothesis, a model of human brain evolution. It made an unexpected prediction: non-social animals could evolve big brains too, if their ecology was rich enough. 1/

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Depth also indicates shallower-living species tended to have larger brains. This fits the idea that shallower habitats are generally more calorie-rich, biodiverse, & more cognitively demanding than open-water habitats. Again, consistent w/ the ABH. 8/

🚨 New paper in iScience: "Ecological not social factors explain brain size in cephalopods" In 2017, we published the Cultural Brain Hypothesis, a model of human brain evolution. It made an unexpected prediction: non-social animals could evolve big brains too, if their ecology was rich enough. 1/

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We preregistered the ABH predictions against the Social Brain & compiled the largest comparative brain dataset for cephalopods yet: 5 years 79 species 3,933 papers 115 variables coded a new phylogeny brain size, body size, ecology, sociality, & behavior 6/

Results: consistent w/ ABH, ecology predicted brain size. Sociality didn't. The strongest predictor was habitat: cephalopods living on or near the shallow seafloors had larger brains than open water species. The relationship was enormous, ~2/3 as large as the body-brain size relationship. 7/

🚨 New paper in iScience: "Ecological not social factors explain brain size in cephalopods" In 2017, we published the Cultural Brain Hypothesis, a model of human brain evolution. It made an unexpected prediction: non-social animals could evolve big brains too, if their ecology was rich enough. 1/

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Sociality can't explain cephalopod brain size, so what does? First, it's worth knowing that evolution favors the smallest brain that let's you survive and thrive, because brain tissue is expensive (about 20x as expensive as muscles in humans). So it has to be worth paying the energy bill 4/

The Asocial Brain Hypothesis says that while trial and error learning is less efficient than social learning, bigger brains can be favored when the environment is rich and complex enough that intelligence unlocks more calories & avoid predators. 5/

🚨 New paper in iScience: "Ecological not social factors explain brain size in cephalopods" In 2017, we published the Cultural Brain Hypothesis, a model of human brain evolution. It made an unexpected prediction: non-social animals could evolve big brains too, if their ecology was rich enough. 1/

Here we got around to testing this "Asocial Brain Hypothesis" in cephalopods - octopuses, squids, & cuttlefish - by spending half a decade building the most comprehensive database & test of their brain evolution yet. 2/ Paper: www.sciencedirect.co... Press release: www.lse.ac.uk/news/e...

sciencedirect.comEcological not social factors explain brain size in cephalopodsSocial factors have been argued to be the main selection pressure for the evolution of large brains and complex behavior, but many cephalopods live la…

Prior to the CBH, the dominant theory for the evolution of large brains was the social brain hypothesis - brains evolved to cope w/ the demands of group living. Cephalopods are smart - use tools, solve problems, deceive - but they're short-lived, die after reproducing, & even cannibalistic. 3/

Michael Muthukrishna reposted

Michael Muthukrishna reposted

🎉🦜NEW PAPER ALERT 🦜🎉 Which social learning biases underly the acquisition of novel food in wild parrots ? We (@lucymaplin.bsky.social, @bjjbarrett.bsky.social, @sonjawild.bsky.social, @drjohnmartin.bsky.social) presented >700 cockies with a novel, artificial food (🧵1/6)

PLOS Biology@plosbiology.org

Adopting novel food is vital to colonize novel environments, but what is the role of social learning? Study of urban #cockatoos by @clevercockierp.bsky.social shows them to rapidly adopt novel food via #SocialLearning, with juveniles showing conformist preferences @plosbiology.org 🧪 plos.io/4uq6NVq

Michael Muthukrishna reposted

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evolutionary game theory & the evolution of cooperation; mechanism design and institutional design; cooperative AI and multi-agent systems; the study and development of large language models; cross-cultural psychology and large-scale behavioral data; philosophy of morality or social contract theory.

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We are looking for someone with a PhD (or are close to completion) in computer science, computational cognitive science, or any quantitative science, and a genuine interest in working across disciplinary boundaries.

We’re especially excited about candidates with backgrounds or serious interest in one or more of: computational modeling of social learning, norms, or moral cognition; cultural evolution and gene-culture coevolution;

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These synchronic models of moral cognition will be complemented by diachronic models of how moral consensus emergence and expands over cultural evolutionary time. The diversity of human values are themselves continually evolving - how might they coevolve with AI agents?

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To offer a glimpse of the kind of questions and approaches you would be working on, consider the question of how the mechanisms of cooperation operate at scale, how are they made concrete in moral norms, and can analogous mechanisms be engineered into multi-agent AI systems?

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As a postdoc, you will work with us and our networks to use ideas from cultural evolution and moral cognition to think more clearly about AI alignment, cooperation, norm formation, negotiation, and value conflict in multi-agent systems.

Human societies solved an tough version of the multi-agent alignment problem: getting millions, eventually billions, of people to cooperate, coordinate, & enforce shared norms. Those solutions were built over generations through culture, institutions, moral systems, and the cognitive machinery.