
Behavioral economics and neuroeconomics challenge the classical assumption of perfect rationality by incorporating natural limits on human computation, willpower, and self-interest. Economics professor Colin Camerer explains that while utility maximization serves as a useful benchmark, real-world agents often rely on "cognitive hierarchies," typically limiting strategic thinking to one or two levels rather than infinite recursion. Neuroscientific research into circuits like the mentalizing network and the dorsolateral prefrontal cortex provides biological underpinnings for these behaviors, revealing how the brain manages complex trade-offs and habit formation. Empirical observations, such as the "two-thirds of the average" game and power-law distributions in gym attendance, demonstrate that human behavior is often governed by "neural autopilot" modes. These insights offer a more accurate framework for predicting economic decisions and developing policy recommendations that account for the actual mechanisms driving human choice.
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