DocumentCode :
1633411
Title :
Population Control for Multi-agent Based Topical Crawlers
Author :
Mouton, Alban ; Marteau, Pierre-Francois
Author_Institution :
Univ. Europeenne de Bretagne, Vannes
Volume :
2
fYear :
2008
Firstpage :
133
Lastpage :
137
Abstract :
The use of multi-agent topical Web crawlers based on the endogenous fitness model raises the problem of controlling the population of agents. We tackle this question through an energy based model to balance the reproduction/life expectancy of agents. Our goal is to simplify the tuning of parameters and to optimize the use of resources available for the crawling. We introduce an energy based model designed to control the number of agents according to the precision of the crawling. We present some experiments that show that the size of the population remains under control during the crawling.
Keywords :
Internet; multi-agent systems; Web crawlers; endogenous fitness model; multi-agent based topical crawlers; population control; Automatic control; Cloning; Control systems; Crawlers; Energy conservation; Intelligent agent; Intelligent systems; Size control; Text processing; Web pages; endogenous fitness; multi-agent; population control; topical crawling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
Type :
conf
DOI :
10.1109/ISDA.2008.111
Filename :
4696320
Link To Document :
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