Title
Reasoning and learning in the setting of possibility theory - Overview and perspectives
Abstract
Possibility theory stands halfway between logical and probabilistic representation frameworks. Possibility theory, as a setting for handling epistemic uncertainty, may have a qualitative or a quantitative flavor depending on the way conditioning is defined. In particular, qualitative possibility theory is totally compatible with classical logic, while quantitative possibility theory is related to statistics. This feature suggests the possibility theory setting as an interesting candidate for interfacing reasoning and learning. The potential of the possibilistic representation framework for reasoning, explanation and learning tasks is particularly highlighted.
Bio
Dr. Henri Prade received the Doctor-Engineer degree from ENSAE, Toulouse, France, and the “Doctorat d'Etat” and “Habilitation a Diriger des Recherches” degrees, both from Toulouse University, Toulouse, France, in 1977, 1982, and 1986, respectively. He has been a “Directeur de Recherche” at C.N.R.S. since 1988, and works as a Research Advisor at the Institut de Recherches en Informatique de Toulouse (IRIT).
He is a coauthor of two monographs on fuzzy sets and possibility theory and has contributed a great number of technical papers on uncertainty modeling and applications. His current research interests are in uncertainty modeling, nonclassical logics, and approximate and plausible reasoning with applications to artificial intelligence, information systems, and operations research. Dr. Prade is Co-Editor-in-Chief of Fuzzy Sets and Systems and a Member of the Editorial Board of several other technical journals.
Speaker is presenting online.
Practical
This seminar is part of the seminar series on the thematic focus of uncertainty quantification (Objective 4: Machine learning with quantified uncertainty).
The Tuesdays seminars series are devoted to various topics relevant for the Integreat´s research focus. Presenters from the Integreat community and beyond have 40 minutes to present, followed by a group discussion.
Seminars are open for attendance for everybody.
For those joining online: https://uio.zoom.us/j/62535744013
Point of contacts:
- Organiser and moderator: Professor Ingrid K. Glad, University of Oslo
- Integreat Administrative Leader Maria Dikova, University of Oslo