Ontology-guided learning to improve communication between groups of agents

We present a general method for agents using ontologies as part of their knowledge representation to teach each other concepts to improve their communication and thus cooperation abilities. Our method aims at getting positive and negative examples for a concept only very vaguely understood by a particular agent from the other agents. This agent then uses one of the known concept learning methods to learn the concept in question, involving the other agents again by taking votes in case of conflicts in the received knowledge. This method allows agents that are not sharing common ontologies to establish common grounds on concepts known only to some of them, if these common grounds are needed during cooperation. While the concepts learned by an agent are only compromises between the views of the other agents, the method nevertheless enhances the autonomy of agents using it substantially. Categories and Subject Descriptors I.2.11 [Distributed Artificial Intelligence]: Multiagent systems; I...

• Type: Conference
• Year: 2006
• Where: ATAL
• Authors: Mohsen Afsharchi, Behrouz H. Far, Jörg Denzinger
• Keywords: ATAL 2006, Concept Learning, Concept Learning Methods, Intelligent Agents, Method Allows Agents