TITLE: Assisting Scientific Discovery with an Adaptive Problem Solver

PRESENTER: Christopher Dartnell, , christopher.dartnell@euriware.fr

AFFILIATION:Montpellier Laboratory of Computer Science, Robotics, and Microelectronics, France,

DATE: Friday 28th October 2005

TIME: 12:00:00

PLACE: CSE Seminar Room Level 1 K17

ABSTRACT:

Designing tools to assist Scientific Discovery offers a challenging
problematic, since the problems studied by scientists are not yet solved,
and valid models are not yet available. It is therefore impossible to
create a problem solver to simulate a given phenomenon and explain or
predict facts. We propose to assist scientists with learning machines
considered as adaptive problem solvers, to build interactively a
consistent model suited for reasoning, simulating, predicting, and
explaining facts. For this purpose, we present an interaction protocol
based on Angluin's "Learning from Different Teachers" model, that we
extend so that it becomes operational in assisting scientists who attempt
to solve open problems.

BIOGRAPHY OF SPEAKER:

Christopher Dartnell is a PhD student at the Montpellier Laboratory of
Computer Science, Robotics, and Microelectronics, France.

Host:

Eric Martin

Seminar Convenor:

Van Hai Ho