Constructive Interactions

Philippe Lemoisson (1) , Stefano A. Cerri (2) , Serge-André Mahe (3) , Jean Sallantin (4)

1 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 SMILE - Système Multi-agent, Interaction, Langage, Evolution
3 IUT Montpellier – Sète - Institut Universitaire de Technologie - Montpellier
4 COCONUT - Agents, Apprentissage, Contraintes

The new paradigm of "knowledge construction using experiential based and collaborative learning approaches" is an outstanding opportunity for interdisciplinary research. This document is an attempt to introduce and exemplify as much as possible using the lexicon of "social sciences", considerations and tools belonging to "artificial intelligence" (eg.:the machine learning tradition). In the paper we first draw a conceptual framework for rational agents in conversational interaction; then we use this framework for describing the processes of co-building ontologies, co-building theories, social interactive learning... as examples of constructive interactions; finally we give a brief description of a few AI methods and tools which might help - or perhaps be unavoidable in order to ensure the success of the interactive process.

Keywords: learning grids; e-learning; agent communication languages; rational agents; description languages; ontology construction; human and machine learning; enhanced telepresence

Domains: Technology for Human Learning

Philippe Lemoisson, Stefano A. Cerri, Serge-André Mahe, Jean Sallantin. Constructive Interactions. 3rd International Workshop on GRID Infrastructure to Support Future Technology Enhanced Learning (LeGE-WG), Dec 2003, Berlin, Germany. ⟨hal-00190461⟩