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Learning Agents and Enhanced Presence for Generation of Services on the Grid

Clement Jonquet 1 Marc Eisenstadt 2 Stefano A. Cerri 1 
1 SMILE - Système Multi-agent, Interaction, Langage, Evolution
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Human learning on the Grid will be based on the synergies between advanced artificial and human agents. These synergies will be possible to the extent that conversational protocols among agents, human and/or artificial ones, can be adapted to the ambitious goal of dynamically generating services for human learning. In the paper we highlight how conversations may procure learning both in human and in artificial agents. The STROBE model for communicating agents and its current evolutions shows how an artificial agent may “learn” dynamically (at run time) at the Data, Control and Interpreter level, in particular exemplifying the “learning by being told” modality. The enhanced presence research, exemplified by Buddyspace, in parallel, puts human agents in a rich communicative context where learning effects may occur also as a “serendipitous” side effect of communication.
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Submitted on : Monday, October 16, 2006 - 9:36:07 AM
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  • HAL Id : lirmm-00106610, version 1



Clement Jonquet, Marc Eisenstadt, Stefano A. Cerri. Learning Agents and Enhanced Presence for Generation of Services on the Grid. Towards the Learning GRID: Advances in Human Learning Services, 127, IOS Press, pp.203-213, 2005, Frontiers in Artificial Intelligence and Applications, 978-1-58603-534-1 (print) 978-1-60750-123-7 (online). ⟨lirmm-00106610⟩



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