Aaron's code
Automated Theory Formation in Pure Mathematics
Automated Theory Formation in Pure Mathematics
Automatic Invention of Integer Sequences
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Mathematical applications of inductive logic programming
Machine Learning
Automatic Construction and Verification of Isotopy Invariants
Journal of Automated Reasoning
Modelling human preference in evolutionary art
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
Generative art and evolutionary refinement
EvoCOMNET'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part II
Evolving a library of artistic scene descriptors
EvoMUSART'12 Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
Fitness in evolutionary art and music: what has been used and what could be used?
EvoMUSART'12 Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
No photos harmed/growing paths from seed: an exhibition
NPAR '12 Proceedings of the Symposium on Non-Photorealistic Animation and Rendering
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We investigate the automatic construction of visual scenes via a hybrid evolutionary/hill-climbing approach using a correlation-based fitness function. This forms part of The Painting Fool system, an automated artist which is able to render the scenes using simulated art materials. We further describe a novel method for inventing fitness functions using the HR descriptive machine learning system, and we combine this with The Painting Fool to generate and artistically render novel scenes. We demonstrate the potential of this approach with applications to cityscape and flower arrangement scene generation.