Exploring New Generative Art Schemes: A Practice-based Approach, Slides of Robotics

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A Practice-based Approach for

Exploring New Generative Art

Schemes

Outline

 The ubiquity of GA schemes  Standard search paradigm  Non-interactive genetic algorithms  Our practice-based approach  Conclusions

•  Biomorphs – Dawkins ’
•  Evolving Expressions – Sims ’
•  Mutator - Todd & Latham ’
•  Fractals – Sprott ’
•  Strange Attractors – Krawczyk ’
•  Polynomiography – Kalantari ’
•  Self-similar Tilings – Priebe ’
•  Spiral Tilings – Palmer ’
•  Hyperbolic Spirals – Dunham ’
•  Bar Grids – Roelofs ’
•  Spirolaterals – Krawczyk ’
•  Component Sculptures – Hart ’
•  Fermat Spirals – Krawczyk ’
•  TSP Art – Galanter ’

 TSP Art – Kaplan & Bosch ’  Polar Transformations – Bleicher ’  Reaction Diffusion – Behravan & Carlisle ’  ACO – Aupetit et al ’  Cellular Morphognesis – Eggenberger ’

Evolving Expressions IGA

(Greenfield ’92-’96)

 Modeled after Sims  User interface to control genetics  Features

• Node iteration
• External image acquisition
• Palette management
• 2D and 3D imaging

Slippage I-III

Expressionism IV

Re-coloring Example

A

A fitness function taxonomy

 Positive Feedback

• simulated co-evolution
• neural nets (Cardoso et al ’98)  Negative Feedback
• simulated immune systems (Romero et al ’05)
• simulated diseases (Dorin ’05)  Direct Control
• user-designed  Indirect Control
• multi-objective optimization
• ant colony optimization  Learning
• image analogies (Hertzmann et al ’01)
• simulated gaze data

Our practice-based approach

 Co-evolutionary framework (’00)  Color segmentation analysis (’02)  Multi-objective Optimization (’03)  Virtual ant paintings (’05)  Cellular morphogenesis (’05)  Serial polar transf. motifs (’05)