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

Zsolt Palotai, Sándor Mandusitz, András Lorincz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 crawled by using 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.

Original languageEnglish
Title of host publication2004 IEEE International Joint Conference on Neural Networks - Proceedings
Pages1451-1456
Number of pages6
DOIs
Publication statusPublished - Dec 1 2004
Event2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest, Hungary
Duration: Jul 25 2004Jul 29 2004

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
Volume2
ISSN (Print)1098-7576

Other

Other2004 IEEE International Joint Conference on Neural Networks - Proceedings
CountryHungary
CityBudapest
Period7/25/047/29/04

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ASJC Scopus subject areas

  • Software

Cite this

Palotai, Z., Mandusitz, S., & Lorincz, A. (2004). Distributed mining of the Internet for novel news: Evolutionary community of news foragers. In 2004 IEEE International Joint Conference on Neural Networks - Proceedings (pp. 1451-1456). (IEEE International Conference on Neural Networks - Conference Proceedings; Vol. 2). https://doi.org/10.1109/IJCNN.2004.1380166