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Cognitive Agents Learning by Communicating

Clement Jonquet 1 Stefano A. Cerri 1
1 SMILE - Système Multi-agent, Interaction, Langage, Evolution
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Cognitive Agent communication is a research field in full development. We propose here an extension and an implementation of the STROBE model, which regards the Agents as Scheme interpreters. These Agents are able to interpret messages in a dedicated environment including an interpreter that learns from the current conversation. These interpreters evolve dynamically, progressively with the conversations, and thus represent evolving meta level Agent knowledge. We illustrate this theoretical model by a “teacher-student” dialogue experimentation, where an Agent learns a new performative at the completion of the conversation. Details of the implementation are not provided here, but are available.
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Submitted on : Monday, November 26, 2007 - 11:44:24 AM
Last modification on : Friday, October 22, 2021 - 3:07:32 PM
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  • HAL Id : lirmm-00191962, version 1



Clement Jonquet, Stefano A. Cerri. Cognitive Agents Learning by Communicating. ALCAA: Agents Logiciels - Coopération - Apprentissage - Activités Humaines, Sep 2003, Bayonne, France. ⟨lirmm-00191962⟩



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