Session Overview

Social interactions are a key aspect of human intelligence, but the study of intelligence has traditionally focused on single-individual experiments and measurements. The study of sociality is emerging as key to both understand human-relevant problems using AI tools, and to design more intelligent artificial systems. In this talk, I will discuss a body of work that aims to understand the necessary conditions for promoting cooperation in multi-agent systems and how they relate to humanity's hardest challenges.


Overview

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    Incentives for Sociality: Intrinsic and Extrinsic Motivations of Social Dilemmas in Multi-Agent Systems

    • Abstract & Bio

    • Incentives for Sociality: Intrinsic and Extrinsic Motivations of Social Dilemmas in Multi-Agent Systems

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