DocumentCode
1965077
Title
Automatic concept evolution
Author
Fogarty, Terence C.
Author_Institution
South Bank Univ., London, UK
fYear
2003
fDate
18-20 Aug. 2003
Firstpage
89
Abstract
Summary form only given, as follows. An evolutionary algorithm can be used by a distributed group of interacting people to produce the solution to a problem. First the problem must be defined. Each member of the group suggests solutions to the problem. They then go on to improve these suggestions by mutation and crossover. They show their preferences by replication and can throw in new suggestions if they think of them. A small experiment involving seven people using this algorithm to choose a name for it is described. The successes and limitations of this small experiment are discussed.
Keywords
evolutionary computation; problem solving; crossover; distributed group; evolutionary algorithm; experiment; human interaction; mutation; replication; Cognitive informatics; Evolutionary computation; Genetic mutations;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 2003. Proceedings. The Second IEEE International Conference on
Print_ISBN
0-7695-1986-5
Type
conf
DOI
10.1109/COGINF.2003.1225961
Filename
1225961
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