Authors

J. Secretan; N. Beato; D. B. D'Ambrosio; A. Rodriguez; A. Campbell; J. T. Folsom-Kovarik;K. O. Stanley

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Evol. Comput.

Keywords

Interactive evolutionary computation; collaborative interactive; evolution; INTERACTIVE EVOLUTION; NETWORKS; INTERNET; IMAGES; ART; Computer Science, Artificial Intelligence; Computer Science, Theory &; Methods

Abstract

For domains in which fitness is subjective or difficult to express formally, interactive evolutionary computation (IEC) is a natural choice. It is possible that a collaborative process combining feedback from multiple users can improve the quality and quantity of generated artifacts. Picbreeder, a large-scale online experiment in collaborative interactive evolution (CIE), explores this potential. Picbreeder is an online community in which users can evolve and share images, and most importantly, continue evolving others' images. Through this process of branching from other images, and through continually increasing image complexity made possible by the underlying neuroevolution of augmenting topologies (NEAT) algorithm, evolved images proliferate unlike in any other current IEC system. This paper discusses not only the strengths of the Picbreeder approach, but its challenges and shortcomings as well, in the hope that lessons learned will inform the design of future CIE systems.

Journal Title

Evolutionary Computation

Volume

19

Issue/Number

3

Publication Date

1-1-2011

Document Type

Article

Language

English

First Page

373

Last Page

403

WOS Identifier

WOS:000293869300002

ISSN

1063-6560

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