Artificial evolution for computer graphics
By Karl Sims. 1991
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sebastian Risi
- Kenneth O. Stanley
- Andrea Soltoggio
- Julian Togelius
- Yaochu Jin
- Jean-Baptiste Mouret
- Jeff Clune
- Joel Lehman
Citations in the corpus
- Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “In the context of genotype-to-phenotype mappings, Compositional Patterns Producing Networks (CPPNs) (Stanley, 2007), and also the previous work of Sims (1991), demonstrated that structured phenotypes can be generated through a function mapping without going through the dynamic developmental process…”
- Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space (2011, background): “A prominent application of IEC is genetic art , in which evolution is driven by subjective appreciation for the evolved digital artifacts (Smith, 1991; Sims, 1991; Todd and Latham, 1992; Dawkins, 1989; Greenfield, 2000; McCormack, 1993; Lund et al., 1995; Baluja et al., 1994).”
- CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms (2017, background): “…Gabora(2009); Colton et al.(2015)Colton, Halskov, Ventura, Gouldstone, Cook, and Perez-Ferrer; Heath and Ventura(2016)) ), but also in computer graphics (Sims(1991)), and machine learning, (e.g. (Mordvintsev et al.(2015)Mordvintsev, Olah, and Tyka; Johnson et al.(2016)Johnson, Alahi, and Fei-Fei)).”
- Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation (2001, methodology): “) , 2-D CG based on mathematical equations or cellar automaton rules [179], [180], [224], [181], [10], [11], [105], [236], [47], [228], [1], [229], [230], [167], [231], [240], [232], 3-D CG rendering [223], animal CG [44], and airplane drawing evolved by wings and bodies [125], [126].”
- Ideas are not replicators but minds are (2004, background): “markets (Farmer and Lo 1999), social customs (Durham 1991; Marsden 2001), art (Sims 1991), and the design of artifacts in primitive societies (Lake 1998).”
- A Field Guide to Genetic Programming (2008, methodology): “The use of GP in computer art can be traced back at least to the work of Sims (Sims, 1991) and Latham.”
- Evolving virtual creatures (1994, methodology): “This approach has been used to genetically program solutions to a variety of problems [1,9], as well as to explore procedurally generated images and dynamical systems [18,19].”
- Global Optimization Algorithms -- Theory and Application (2009, background): “Some genetic algorithms(2) like the human-based genetic algorithms(3) (HBGA), for instance, even require human beings for evaluating or selecting the solution candidates [520, 521, 522, 523, 524] It should further be mentioned that, because of the close relation to biology and since genetic algorith”
- Creativity and Artificial Intelligence (1998, background): “[21].”
- Search-Based Procedural Content Generation: A Taxonomy and Survey (2011, methodology): “Similarly, generate-and-test methods such as evolutionary algorithms are widely used for PCG in nongame domains, for example in the generation of procedural art; the evaluation function for this very subjective content may be a human observer who specifies which individuals survive each generation [”
- Advances in Computational Intelligence (2003, unknown): “Evolutionary art: evolutionary art is focused on creating new forms of images and art [171].”
- A framework for evolutionary optimization with approximate fitness functions (2002, background): “Interactive evolutionary computation has found a wide range of applications, such as graphics and art design [9], music generation [10], and layout design [11].”
- Sequential line search for efficient visual design optimization by crowds (2017, background): “Another notable related area is interactive evolutionary computation (IEC) for visual design [Clune and Lipson 2011; Sims 1991], in which human evaluation is incorporated into the loop of evolutionary computation, and some studies used crowdsourcing to involve such human input (e.g., [Yu and…”
- Compositional pattern producing networks: A novel abstraction of development (2007, background): “In fact some features of CPPNs appear as early as Sims [76], who interactively evolves images encoded as symbolic Lisp expressions.”