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Traitement de l'hétérogénéité sémantique dans les interactions humain-agent et agent-agent

Laurent Mazuel 1
1 SMA - Systèmes Multi-Agents
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : The main purpose of this thesis is the management of semantic heterogeneity in human-agent and agent-agent interaction. We especially focus on the situation where a software agent, supplied with a knowledge representation model, has to understand requests coming from different interlocutors; either it is a human user or another software agent.
Most work in this domain either focus on human-agent interaction or agent-agent interaction. On the contrary, we suggest that it is possible to use a common interaction model for both situations. Then, we first present a semantic interpretation algorithm of the request independent of the given interaction type (human-agent or agent-agent). This algorithm considers the ratio between « what is understood » of the request and « what is possible » for the machine. This ratio is used in an answering strategies system based upon a semantic relatedness measure. We then propose our relatedness measure, designed to take into account more information that measures currently do.
We then study the implementation made for the human-agent and the agent-agent interactions. For the human-agent interaction, we have to model natural language requests. For the agent-agent implementation, we propose a new version of our architecture which relies upon an interaction protocol between agents.
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Contributor : Laurent Mazuel <>
Submitted on : Wednesday, September 2, 2009 - 10:45:09 PM
Last modification on : Friday, January 8, 2021 - 5:50:03 PM
Long-term archiving on: : Tuesday, October 16, 2012 - 10:15:12 AM


  • HAL Id : tel-00413004, version 1


Laurent Mazuel. Traitement de l'hétérogénéité sémantique dans les interactions humain-agent et agent-agent. Interface homme-machine [cs.HC]. Université Pierre et Marie Curie - Paris VI, 2008. Français. ⟨tel-00413004⟩



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