• Publications
  • Influence
Social heuristics shape intuitive cooperation.
Cooperation is central to human societies. Yet relatively little is known about the cognitive underpinnings of cooperative decision making. Does cooperation require deliberate self-restraint? Or isExpand
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Why We Cooperate
A key element of human morality is prosocial behavior. Humans are unique among animals in their willingness to pay costs to benefit unrelated friends and strangers. This cooperation is a criticalExpand
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PyTorch-BigGraph: A Large-scale Graph Embedding System
We present PyTorch-BigGraph (PBG), an embedding system that incorporates several modifications to traditional multi-relation embedding systems that allow it to scale to graphs with billions of nodes and trillions of edges. Expand
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Multi-Agent Cooperation and the Emergence of (Natural) Language
We propose a framework for language learning that relies on multi-agent communication. Expand
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Humans Display a 'Cooperative Phenotype' that is Domain General and Temporally Stable
Understanding human cooperation is of major interest across the natural and social sciences. But it is unclear to what extent cooperation is actually a general concept. Most research on cooperationExpand
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Cooperating with the future
Overexploitation of renewable resources today has a high cost on the welfare of future generations. Unlike in other public goods games, however, future generations cannot reciprocate actions madeExpand
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Maintaining cooperation in complex social dilemmas using deep reinforcement learning
We show how to modify modern reinforcement learning methods to construct agents that act in ways that are simple to understand, nice (begin by cooperating), provokable ( try to avoid being exploited), and forgiving (try to return to mutual cooperation). Expand
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Habits of Virtue: Creating Norms of Cooperation and Defection in the Laboratory
Spillover effects in one-shot anonymous cooperation are driven, at least in part, by spillovers from representative daily life interactions. Expand
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Prosocial learning agents solve generalized Stag Hunts better than selfish ones
We extend existing work on reward-shaping in multi-agent reinforcement learning and show that that making a single agent prosocial, that is, making them care about the rewards of their partners can increase the probability that groups converge to good outcomes. Expand
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Discovering Context Effects from Raw Choice Data
We introduce an extension of the Multinomial Logit (MNL) model, called the context dependent random utility model (CDM), which allows for a particular class of choice set effects. Expand
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