Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes

@inproceedings{Schmidhuber2008DrivenBC,
  title={Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes},
  author={J{\"u}rgen Schmidhuber},
  booktitle={Computational Creativity: An Interdisciplinary Approach},
  year={2008}
}
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, thus making it subjectively simpler and more beautiful. Curiosity is the desire to create or discover more non-random, non-arbitrary, regular data that is novel and surprising not in the traditional sense of Boltzmann and Shannon but in the sense that it allows for compression progress because its… CONTINUE READING
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Driven by compression progress: A simple principle explains essential aspects of subjective beauty, novelty, surprise, interestingness, attention , curiosity, creativity, art, science, music, jokes

J Schmidhuber
Anticipatory Behavior in Adaptive Learning Systems, from Sensorimotor to Higher-level Cognitive Capabilities, LNAI • 2009

How to Learn Programs with Artificial Recurrent Neural Networks

J Schmidhuber, A Graves, F J Gomez, S Fernandez, S Hochreiter
How to Learn Programs with Artificial Recurrent Neural Networks • 2009

Natural Evolution Strategies

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) • 2008

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