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IAT
2010
IEEE

Collaborative Learning of Ontology Fragments by Co-operating Agents

13 years 1 months ago
Collaborative Learning of Ontology Fragments by Co-operating Agents
Abstract--Collaborating agents require either prior agreement on the shared vocabularies that they use for communication, or some means of translating between their private ontologies. Thus, techniques that enable agents to build shared vocabularies allow them to share and learn new concepts, and are therefore beneficial when these concepts are required on multiple 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. Specifically, we show, through empirical evaluation, that our approach saves more civilians, reduces the percentage of the city burnt, and spends the le...
Heather S. Packer, Nicholas Gibbins, Nicholas R. J
Added 03 Mar 2011
Updated 03 Mar 2011
Type Journal
Year 2010
Where IAT
Authors Heather S. Packer, Nicholas Gibbins, Nicholas R. Jennings
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