## Thermodynamics as a theory of bounded rational decision-making

author: Pedro A. Ortega, Max Planck Institute for Biological Cybernetics, Max Planck Institute

published: Oct. 16, 2012, recorded: September 2012, views: 289

# Slides

# Related content

# Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our**to describe your request and upload the data.**

__ticket system__*Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.*

# Description

Perfectly rational decision-makers maximize expected utility, but crucially ignore the resource costs incurred when determining optimal actions. Here we propose an information-theoretic formalization of bounded rational decision-making where decision-makers trade off expected utility and information processing costs. As a result, the decision-making problem can be rephrased in terms of well-known concepts from thermodynamics and statistical physics, such that the same exponential family distributions that govern statistical ensembles can be used to describe the stochastic choice behavior of bounded decision-makers. This framework does not only explain some well-known experimental deviations from expected utility theory, but also reproduces psychophysical choice pattern captured by diffusion-to-bound models. Furthermore, this framework allows rederiving a number of decision-making schemes including risk-sensitive and robust (minimax) decision-making as well as more recent approximately optimal schemes that are based on the relative entropy. In the limit when resource costs are ignored, the maximum expected utility principle is recovered. Since most of the mathematical machinery can be borrowed from statistical physics, the main contribution is to show how a thermodynamic model of bounded rationality can provide a unified view of diverse decision-making phenomena and control schemes.

# Link this page

Would you like to put a link to this lecture on your homepage?

Go ahead! Copy the HTML snippet !

## Write your own review or comment: