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Related Experiment Video

Updated: May 15, 2026

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization

Published on: April 19, 2017

Tuning your priors to the world.

Jacob Feldman¹

¹Department of Psychology, Center for Cognitive Science, Rutgers University–New Brunswick, Piscataway, NJ 08854, USA. jacob@ruccs.rutgers.edu

Topics in Cognitive Science

|January 22, 2013

Summary

Bayesian inference suggests that "tuning the prior" to environmental frequencies can lead to overfitting. Instead, cognitive systems should favor simpler, more entropic priors when environmental uncertainty exists for optimal performance.

Area of Science:

Cognitive Science
Bayesian Inference
Environmental Perception

Background:

The concept of incorporating environmental structure into perception and cognition is a core tenet of cognitive theory.
In Bayesian frameworks, this is often achieved by
tuning the prior,
meaning aligning prior probabilities with real-world event frequencies.

Purpose of the Study:

To challenge the prevailing notion of "ecological" prior tuning as an ideal observer model.
To explore the philosophical and practical limitations of matching priors to environmental frequencies within Bayesian probability.

Main Methods:

Conceptual analysis of Bayesian probability philosophy.
Examination of the phenomenon of overfitting in the context of environmental frequency matching.

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Last Updated: May 15, 2026

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization

Published on: April 19, 2017

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Main Results:

Direct contradiction between "ecological" prior tuning and the Bayesian view of probability as degrees of belief.
Demonstration that tuning priors to environmental frequencies can lead to overfitting and suboptimal future performance.

Conclusions:

The assumption that priors should match environmental frequencies is philosophically flawed and practically detrimental.
Agents should bias priors away from ecological frequencies towards simpler, more entropic priors when environmental uncertainty is present.