Emmanuel J. Genot
emmanuel.genot@etu.univ-lille3.fr
emmanuel.genot@free.fr
Ph.
D. Student (University of
Lille 3)
UMR
8163 STL, University of Lille 3
Professeur
Agrégé (Philosophy) (Lycée
E. Thomas, Le Quesnoy, France)
Last update: 10.03.08
Master II supervisor : Prof. Dr. Shahid Rahman
Ph.D. supervisor : Prof. Dr. Shahid Rahman
Research interests:
Interrogative Games
Qualitative and
Probabilistic Belief
Change
Interrogative Games
Interrogative Model of
Inquiry
Epistemic Logic/Applied Modal Logics
Decision
Theory
Non-monotonic logics
Publication:
(with Shahid Rahman and
Tero Tulenheimo) – Editors Preface, Truth,
Unity and the Liar,
Springer, col. LEUS
Submitted:
"The
Best of All Possible Worlds: Where Interrogative Games Meet
Research Agendas"
Talks:
''Identité,
Identification, Référence'', Séminaire
Référence STL-MESH,
University of Lille 3 (France), March12 2008
''Interrogative
Logic and Research Agendas in Epistemic Change Theory'', Science
in Flux International Workshop,
University of Lund (Sweden), December 7-8, 2008.
(with
Emmanuel Genot and Nicolas Desrumeaux) "Agents, Choices and
Responsibility in Branching Time". Argumentation and law
workshop, University of Lille 3 (France), November 14-16,
2005.
Master 1 of Philosophy Thesis:
"A
Dialogical Reconstruction of D. Lewis Modal Epistemology"
Ph.D.
Thesis:
"Interrogative
Games and Belief Revision Theory"
I explore the connection
between J. Hintikka's Interrogative
Model of Inquiry
(IMI) and Belief Revision
Theory (BRT,
in the AGM tradition), mainly in connection with the theory of
research agendas recently
developed by E. Olsson. The aim of the thesis is to understand the
process of belief change in a game-theoretic setting. The prospect
is (hopefully) a better understanding of the updating of
entrenchment relations at the output of belief change. I intend to
show that selection functions (commonly used in BRT) can be
interpreted as Skolem
functions,
encoding strategies (i. e. sequences of moves) in an inquiry game:
where BRT represents change as a “one-shot” operation,
it is better understood as the strategic form of a sequential
(inquiry) game. Connections with probabilistic updating (mainly
Bayesian learning theory) will be explored, through its use in
solution concepts in sequential games.