Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space

By Jimmy Secretan, Nicholas Beato, David B. D'Ambrosio, Adelein Rodriguez, Adam Campbell, Jeremiah T. Folsom-Kovarik, Kenneth O. Stanley. 2011

249 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

Citations in the corpus

Convolution by Evolution: Differentiable Pattern Producing Networks (2016, methodology): “A good example of this methodology is Picbreeder [24], in which a crowd of Internet users evolve images by selecting which CPPNs to breed.”
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities (2018, neutral): “And yet, in the case of Picbreeder [106], one such surprise was career-altering.”
From evolutionary computation to the evolution of things (2015, background): “In tandem with algorithmic advances, this has spurred renewed interest in Interactive Evolutionary Algorithms, which have been successfully applied to elicit user preferences and knowledge in many areas from design to art 51,52 .”
Art and the science of generative AI (2023, background): “Many of these systems use feedback from a large number of users to guide the creation of content [20, 21, 22, 23, 24, 25], and thus fall into the lineage of collective or crowd art (e.”
Single-unit pattern generators for quadruped locomotion (2013, background): “Because CPPNs have exhibited the ability to encode spatial patterns with a natural appearance [7, 29, 30], an interesting possibility is that they could be successful at encoding patterns across time as well.”
Sentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization (2018, background): “Technically, Ascend is related to approaches to interactive evolution (Takagi 2001; Secretan et al. 2011) and crowd-sourcing (Brabham 2013; Lehman and Miikkulainen 2013a) in that evaluations of candidates are done online by human users.”
Generative Art Using Neural Visual Grammars and Dual Encoders (2021, methodology): “We did not experiment with Compositional Pattern Producing Networks (CPPNs) which have also been used in this context [17] because their aesthetics are canalized.”