Giboin, Alain
Reports on the AAAI Fall Symposia (November 1999 and November 1998)
Daud, Fawzi, Mateas, Michael, Sengers, Phoebe, Brennan, Susan, Giboin, Alain, Traum, David, Chaudri, Vinay, Fikes, Richard E., Scott, Donia, Power, Richard, Jensen, David
The 1999 Association for the Advancement of Artificial Intelligence Fall Symposium Series was held Friday through Sunday, 5-7 November 1999, at the Sea Crest Oceanfront Resort and Conference Center. The titles of the five symposia were (1) Modal and Temporal Logics-Based Planning for Open Networked Multimedia Systems; (2) Narrative Intelligence; (3) Psychological Models of Communication in Collaborative Systems; (4) Question-Answering Systems; and (5) Using Layout for the Generation, Understanding, or Retrieval of Documents.
Reports on the AAAI Fall Symposia (November 1999 and November 1998)
Daud, Fawzi, Mateas, Michael, Sengers, Phoebe, Brennan, Susan, Giboin, Alain, Traum, David, Chaudri, Vinay, Fikes, Richard E., Scott, Donia, Power, Richard, Jensen, David
We order its events and find meaning in them by assimilating them to more or less familiar narratives. Temporal A wide variety of systems were presented: 1999, at the Sea Crest Oceanfront and modal logics have been used to story generation, interactive Resort and Conference Center. The reason about time, action, and adaptive fiction (including the first public titles of the five symposia were change and to program and verify demonstration from Joseph Bates's networked systems. How can we create characters from specifications of service quality in which interactive narrative emerges? The symposium focused mainly on a single, comprehensive theoretical framework, Clark's grounding model.
Building of a Corporate Memory for Traffic-Accident Analysis
Dieng, Rose, Giboin, Alain, Amerge, Christelle, Corby, Olivier, Despres, Sylvie, Alpay, Laurence, Labidi, Sofiane, Lapalut, Stephane
This article presents an experiment of expertise capitalization in road traffic-accident analysis. We study the integration of models of expertise from different members of an organization into a coherent corporate expertise model. We present our elicitation protocol and the generic models and tools we exploited for knowledge modeling in this context of multiple experts. Finally, we discuss the results of our experiment from a knowledge capitalization viewpoint.
Building of a Corporate Memory for Traffic-Accident Analysis
Dieng, Rose, Giboin, Alain, Amerge, Christelle, Corby, Olivier, Despres, Sylvie, Alpay, Laurence, Labidi, Sofiane, Lapalut, Stephane
This article presents an experiment of expertise capitalization in road traffic-accident analysis. We study the integration of models of expertise from different members of an organization into a coherent corporate expertise model. We present our elicitation protocol and the generic models and tools we exploited for knowledge modeling in this context of multiple experts. We compare the knowledge models obtained for seven experts in accidentology and their representation through conceptual graphs. Finally, we discuss the results of our experiment from a knowledge capitalization viewpoint.