Automated ontology evolution in a multi-agent system
M. Afsharchi, and B. Far. Proceedings of the 1st international conference on Scalable information systems, New York, NY, USA, ACM, (2006)
DOI: 10.1145/1146847.1146863
Abstract
This research addresses the formation of new concepts and their corresponding ontology in a multi-agent system where individual autonomous agents try to learn new concepts by consulting several other agents. In this research individual agents create and learn their distinct conceptualization and rather than a commitment to a common ontology they use their own ontologies. In this paper multi-agent supervised learning of concepts among individual agents with diverse conceptualization and different ontologies is introduced and demonstrated through an intuitive example in which supervisors are other agents rather than a human.
Description
Automated ontology evolution in a multi-agent system
%0 Conference Paper
%1 afsharchi2006automated
%A Afsharchi, Mohsen
%A Far, Behrouz H.
%B Proceedings of the 1st international conference on Scalable information systems
%C New York, NY, USA
%D 2006
%I ACM
%K evolution ontology toread
%R 10.1145/1146847.1146863
%T Automated ontology evolution in a multi-agent system
%U http://doi.acm.org/10.1145/1146847.1146863
%X This research addresses the formation of new concepts and their corresponding ontology in a multi-agent system where individual autonomous agents try to learn new concepts by consulting several other agents. In this research individual agents create and learn their distinct conceptualization and rather than a commitment to a common ontology they use their own ontologies. In this paper multi-agent supervised learning of concepts among individual agents with diverse conceptualization and different ontologies is introduced and demonstrated through an intuitive example in which supervisors are other agents rather than a human.
%@ 1-59593-428-6
@inproceedings{afsharchi2006automated,
abstract = {This research addresses the formation of new concepts and their corresponding ontology in a multi-agent system where individual autonomous agents try to learn new concepts by consulting several other agents. In this research individual agents create and learn their distinct conceptualization and rather than a commitment to a common ontology they use their own ontologies. In this paper multi-agent supervised learning of concepts among individual agents with diverse conceptualization and different ontologies is introduced and demonstrated through an intuitive example in which supervisors are other agents rather than a human.},
acmid = {1146863},
added-at = {2011-07-07T14:54:59.000+0200},
address = {New York, NY, USA},
articleno = {16},
author = {Afsharchi, Mohsen and Far, Behrouz H.},
biburl = {https://www.bibsonomy.org/bibtex/2b5528a701397b534b3b0e5a24e37e7e2/dbenz},
booktitle = {Proceedings of the 1st international conference on Scalable information systems},
description = {Automated ontology evolution in a multi-agent system},
doi = {10.1145/1146847.1146863},
interhash = {3614f61a4bddc48c0eeb7eecf6e7adee},
intrahash = {b5528a701397b534b3b0e5a24e37e7e2},
isbn = {1-59593-428-6},
keywords = {evolution ontology toread},
location = {Hong Kong},
publisher = {ACM},
series = {InfoScale '06},
timestamp = {2013-07-31T15:39:42.000+0200},
title = {Automated ontology evolution in a multi-agent system},
url = {http://doi.acm.org/10.1145/1146847.1146863},
year = 2006
}