Collaborative Learning of Ontology Fragments by Cooperating Agents
Packer, Heather S., Gibbins, Nicholas and Jennings, Nicholas R. (2010) Collaborative Learning of Ontology Fragments by Cooperating Agents. In, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Toronto, Canada, 01 - 03 Sep 2010. , 89-96.
- Accepted Version
Collaborating agents require either prior agree- ment on the shared vocabularies that they use for communica- tion, or some means of translating between their private ontolo- gies. Thus, techniques that enable agents to build shared vo- cabularies allow them to share and learn new concepts, and are therefore beneﬁcial when these concepts are required on multi- ple occasions. However, if this is not carried out in an effective manner then the performance of an agent may be adversely affected by the time required to infer over large augmented ontologies, so causing problems in time-critical scenarios such as search and rescue. In this paper, we present a new technique that enables agents to augment their ontology with carefully selected concepts into their ontology. We contextualise this generic approach in the domain of RoboCup Rescue. Speciﬁ- cally, we show, through empirical evaluation, that our approach saves more civilians, reduces the percentage of the city burnt, and spends the least amount of time accessing its ontology compared with other state of the art benchmark approaches.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information:||Awarded Best Paper Event Dates: 1-3 September 2010|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
|Date Deposited:||09 Jun 2010 22:58|
|Last Modified:||27 Mar 2014 20:16|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)