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Keith Weigelt

economist · 4 mentions across 1 reading

In this course

Weigelt is a behavioral economist whose work with Camerer and Ho on bounded rationality and k-level thinking appears throughout the course readings as a foundational model for how agents make decisions under cognitive limitations rather than perfect rationality. His empirical research on strategic behavior and limited lookahead provides the behavioral grounding for understanding how AI systems and human players actually navigate game-theoretic situations, moving away from idealized equilibrium assumptions toward more realistic disequilibrium models. The citations suggest his work is being mobilized to argue that both human cognition and machine learning operate through stepwise reasoning rather than global optimization, a key tension the course examines.

Mentioned in 1 reading

Appears alongside

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Pandaemonium Architecture 6.0 — ATEK-639/439 — Fall 2026 · QR code