Gabaix, Xavier, and David Laibson, “A Boundedly Rational Decision Algorithm,” American Economic Review, XC (May 2000), 433–438.
Gabaix, Xavier, David Laibson, Guillermo Moloche, and Stephen Weinberg, “The Allocation of Attention: Theory an…[^2]: In maximum-likelihood estimation, algorithms find a value of the model free parameter (in this case, $\tau$) which implies predicted probabilities that maximize the product of the predicted likelihoods of all the strategies that are a…
C. Mónica Capra
economist · 2 mentions across 1 reading
In this course
C. Mónica Capra appears in these readings primarily through association with behavioral economics work on bounded rationality and attention allocation, though she is cited only indirectly here as part of collaborative research with Gabaix and Laibson. Her presence signals the course's engagement with how human decision-making under computational constraints—a concept central to understanding both algorithmic design and the gap between rational economic models and actual behavior—relates to questions of attention and resource allocation that become crucial when scaling AI systems. The citations suggest her work contributes empirical grounding to theories of how agents (human or machine) must allocate limited cognitive resources, a theme that bridges behavioral economics into machine learning and cybernetic systems.
Mentioned in 1 reading
Appears alongside
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