Comparing ontologies using multi-agent system and knowledge base
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
Expert Systems with Applications: An International Journal
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Multi-agent interaction protocols are used to support extendedconversations between interacting agents. Traditionally, agentinteraction protocols have just specified the overt interactionsthat take place among communicating agents and have ignored other,non-interactive, events that may have a bearing on the ensuingconversation. In this paper we present our own approach formodelling interaction protocols, which has drawn inspiration fromnarrative intelligence studies and which can incorporate aspects ofthe conversational context which are germane to the agentinteraction. We argue that our approach is more suited to thesupport of complex interactions, such as can occur in e-businessoperations among agents, and we illustrate our approach bydiscussing an example based on commodities trading that involvesmultiple exchanges among a collection of interacting agents.