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Cody Moser: the adaptive landscape of cultural evolution

Razib Khan's Unsupervised Learning

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Agent-based Models and Simulation in Behavioral Economics

This chapter discusses the use of agent-based models and simulation in behavioral economics, highlighting the pros and cons of these models and their rise after the 2008 financial crisis. The speakers touch upon decision-making under specific constraints and the limitations of weak assumptions and network models. They also explore the need for diverse perspectives in science and the importance of breaking people into groups to prevent conformity biases.

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