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
Link To Document :
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