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Why does trying not to crowd a bar on a busy night end up crowded anyway? W. Brian Arthur’s El Farol Bar problem shows how bounded rationality, evolving heuristics, and adaptive decision rules drive a decentralized crowd to self-organize around an optimal attendance. We unpack mixed strategies, complex adaptive systems, and why chaos can be a feature that yields stable, efficient outcomes in traffic, markets, and AI.
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
Sponsored by Embersilk LLC
By Mike BreaultWhy does trying not to crowd a bar on a busy night end up crowded anyway? W. Brian Arthur’s El Farol Bar problem shows how bounded rationality, evolving heuristics, and adaptive decision rules drive a decentralized crowd to self-organize around an optimal attendance. We unpack mixed strategies, complex adaptive systems, and why chaos can be a feature that yields stable, efficient outcomes in traffic, markets, and AI.
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
Sponsored by Embersilk LLC