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

12/23/2008
by   Juergen Schmidhuber, et al.
0

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 regularity was not yet known. This drive maximizes interestingness, the first derivative of subjective beauty or compressibility, that is, the steepness of the learning curve. It motivates exploring infants, pure mathematicians, composers, artists, dancers, comedians, yourself, and (since 1990) artificial systems.

READ FULL TEXT

page 33

page 35

research
09/05/2007

Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity

I postulate that human or other intelligent agents function or should fu...
research
03/19/2019

Improving Video Compression With Deep Visual-Attention Models

Recent advances in deep learning have markedly improved the quality of v...
research
04/06/2021

Subjective Assessment Experiments That Recruit Few Observers With Repetitions (FOWR)

Recent studies have shown that it is possible to characterize subject bi...
research
01/22/2020

Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems

Explainable artificially intelligent (XAI) systems form part of sociotec...
research
01/13/2023

A Universal Low Complexity Compression Algorithm for Sparse Marked Graphs

Many modern applications involve accessing and processing graphical data...
research
11/18/2022

Towards Explaining Subjective Ground of Individuals on Social Media

Large-scale language models have been reducing the gap between machines ...
research
10/01/2022

Construction and Evaluation of a Self-Attention Model for Semantic Understanding of Sentence-Final Particles

Sentence-final particles serve an essential role in spoken Japanese beca...

Please sign up or login with your details

Forgot password? Click here to reset