Modelling Behaviour 2015
DOI: 10.1007/978-3-319-24208-8_30
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Towards AI Drawing Agents

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Cited by 6 publications
(2 citation statements)
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“…In architectural design research, evolution with CPPNs have been preliminarily explored for 2D and 3D drawing and struc-tural engineering [29]. Techniques from Genetic Programming have been applied for massing studies in early phase design in combination with artificial selection [11,10].…”
Section: Open-ended Tasks In Evolutionmentioning
confidence: 99%
“…In architectural design research, evolution with CPPNs have been preliminarily explored for 2D and 3D drawing and struc-tural engineering [29]. Techniques from Genetic Programming have been applied for massing studies in early phase design in combination with artificial selection [11,10].…”
Section: Open-ended Tasks In Evolutionmentioning
confidence: 99%
“…So-called developmental encodings are generally more indirect than parametric models, for example, superformulas (Gielis 2003) and compositional pattern-producing networks (CPPNs) (Stanley 2007;Clune & Lipson 2011) that vary graph topology. In architectural design, Vierlinger (2015) has recently showed how such developmental encodings can help evolve neural networks that produce drawings in anticipation of the user. The nature of the mapping is therefore an important consideration when visualising a design space and will inevitably vary depending on the parametric definition.…”
Section: Parameter Encodingmentioning
confidence: 99%