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Can a monkey with a computer create art?

J C Sprott1

  • 1Department of Physics, University of Wisconsin, Madison, WI, 53706, USA. sprott@physics.wisc.edu

Nonlinear Dynamics, Psychology, and Life Sciences
|December 20, 2003
PubMed
Summary
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Computers can now search millions of equations to find visually pleasing graphical displays. This study details methods for automated aesthetic evaluation and presents successful examples.

Area of Science:

  • Computer Science
  • Computational Mathematics
  • Human-Computer Interaction

Background:

  • Generating aesthetically pleasing graphical outputs from complex mathematical solutions is challenging.
  • Automated methods for evaluating visual appeal are needed for large-scale computational exploration.

Purpose of the Study:

  • To describe computational methods for searching equation solutions.
  • To establish criteria for automatically assessing aesthetic appeal in graphical displays.
  • To present examples of aesthetically pleasing computer-generated graphics.

Main Methods:

  • Developing algorithms for exhaustive search of equation solution spaces.
  • Implementing criteria for quantifying human aesthetic preferences.
  • Utilizing computer graphics to visualize equation solutions.

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Main Results:

  • Successfully identified hundreds of aesthetically pleasing graphical solutions from millions of possibilities.
  • Demonstrated the feasibility of automated aesthetic judgment in computational searches.
  • Generated diverse examples of visually appealing mathematical graphics.

Conclusions:

  • Automated search and aesthetic evaluation can efficiently discover visually appealing mathematical graphics.
  • The described methods provide a framework for exploring large solution spaces for desirable visual properties.
  • This approach has potential applications in art, design, and scientific visualization.