Abstract
I argue that data becomes temporarily interesting by itself to some self-improving, but computationally limited, subjective observer once he learns to predict or compress the data in a better way. Curiosity is the desire to create or discover more data that allows for compression progress. This drive motivates exploring infants, pure mathematicians, composers, artists, dancers, comedians, yourself, and recent artificial systems. © 2008 Springer-Verlag Berlin Heidelberg.
Original language | English (US) |
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Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Publisher | Springer Verlag |
ISBN (Print) | 3540855629 |
DOIs | |
State | Published - Jan 1 2008 |
Externally published | Yes |