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Dale O. Stahl

economist · 3 mentions across 1 reading

In this course

Without a Wikipedia entry, Stahl appears as a theorist of bounded rationality and strategic behavior in game-theoretic contexts, drawing on experimental economics to model how agents reason with cognitive limits rather than perfect information. The excerpts situate him within discussions of k-step thinking and non-equilibrium play, suggesting his work bridges classical game theory (Schelling, Selten) and empirical observations of how actual players deviate from rational-actor assumptions. For a seminar on AI and cybernetics, Stahl's framework matters because it models decision-making systems as cognitively constrained agents—a foundational concern for designing or understanding artificial systems that must operate under uncertainty and computational limits.

Mentioned in 1 reading

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