Title

Collaborative Interactive Evolution

Keywords

Collaborative interactive evolution; Genetic algorithms; Interactive evolution; Real world applications

Abstract

This paper examines the efficacy of genetic algorithms (GAs) in combining input from multiple users to control a single interactive system, such as an educational exhibit at a museum. Specifically, the idea of collaborative interactive evolution (that is, interactive evolution with input from multiple users) is introduced for this purpose. Two fitness functions are proposed to guide the collaborative interactive evolution, as well as two non-GA methods for combining user input. The usefulness and success of each of these methods is examined, and the GA is shown to be a viable means for combining user input for the control of a single interactive system.

Publication Date

12-1-2005

Publication Title

GECCO 2005 - Genetic and Evolutionary Computation Conference

Number of Pages

2199-2200

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1145/1068009.1068373

Socpus ID

32444447447 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/32444447447

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