Title
Boredom begets creativity: A solution to the exploitation-exploration trade-off in predictive coding.
Abstract
Here we investigate whether systems that minimize prediction error e.g. predictive coding, can also show creativity, or on the contrary, prediction error minimization unqualifies for the design of systems that respond in creative ways to non-recurrent problems. We argue that there is a key ingredient that has been overlooked by researchers that needs to be incorporated to understand intelligent behavior in biological and technical systems. This ingredient is boredom. We propose a mathematical model based on the Black–Scholes–Merton equation which provides mechanistic insights into the interplay between boredom and prediction pleasure as the key drivers of behavior.
Year
DOI
Venue
2017
10.1016/j.biosystems.2017.04.006
Biosystems
Keywords
Field
DocType
Predictive coding,Black-Scholes model,Helmholtz machine,Bayesian brain,Free energy minimization,Boredom
Mean squared prediction error,Biology,Predictive coding,Trade-off,Boredom,Artificial intelligence,Pleasure,Creativity,Mechanism (philosophy),Technical systems,Machine learning
Journal
Volume
ISSN
Citations 
162
0303-2647
1
PageRank 
References 
Authors
0.40
6
2
Name
Order
Citations
PageRank
Jaime Gomez Ramirez141.30
Tommaso Costa231.81