Distributed mining of the Internet for novel news: evolutionary community of news foragers

Author

Palotai, Zsolt ; Mandusitz, Sándor ; Lorincz, András

Author_Institution

Dept. of Inf. Syst., Eotvos Lorand Univ., Budapest, Hungary

Volume

2

fYear

2004

fDate

25-29 July 2004

Firstpage

1451

Abstract

We populated a huge scale-free portion of Internet environment with news foragers. They evolved by a simple internal selective algorithm: selection concerned the memory components, being finite in size and containing the list of most promising supplies. Foragers received reward for locating not yet found news and used value estimation. Foragers were allowed to multiply if they passed a given productivity threshold. A particular property of this community is that there is no direct interaction (here, communication) amongst foragers. It is found that, still, fast compartmentalization, i.e., fast division of work can be achieved.

Keywords

Internet; data mining; information resources; Internet; distributed mining; internal selective algorithm; memory components; news foragers; productivity threshold; value estimation; Artificial intelligence; Communication system control; Information systems; Intelligent agent; Intelligent robots; Internet; Learning; Particle swarm optimization; Uniform resource locators; World Wide Web;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on

ISSN

1098-7576

Print_ISBN

0-7803-8359-1

Type

conf

DOI

10.1109/IJCNN.2004.1380166

Filename

1380166