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Erik Eyster

economist · 2 mentions across 1 reading

In this course

Erik Eyster is an economist studying bounded rationality and belief formation under uncertainty, particularly how agents learn and form expectations when information is incomplete or cognitively demanding. His work appears in the course readings as part of a broader discussion of how real market actors and game players deviate from the rational expectations assumption—establishing that speculation, disagreement, and heterogeneous beliefs persist even among sophisticated agents. This connects directly to the course's interest in how AI systems might model or replicate these imperfect human reasoning patterns, and how understanding cognitive limitations informs both market behavior and the design of adaptive algorithms.

Mentioned in 1 reading

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People mentioned in the same passages — sorted by co-occurrence weight.

Pandaemonium Architecture 6.0 — ATEK-639/439 — Fall 2025