Colin F. Camerer
economist · 4 mentions across 2 readings
In this course
Colin F. Camerer is a behavioral and experimental economist who studies decision-making under uncertainty, particularly how real agents deviate from rational actor models through limited cognition and noisy expectations. The course readings cite his work on signaling games, cognitive constraints in competitive markets, and neuroscientific approaches to aging and economic choice—empirical methods that ground AI and machine learning discussions in how actual human reasoning operates rather than idealized rationality. His experimental protocols appear to anchor debates about modeling bounded agents and the gap between economic theory and implementation in algorithmic systems.
Mentioned in 2 readings
Appears alongside
People mentioned in the same passages — sorted by co-occurrence weight.