TITLE: Knowledge Representation for General Game Playing
PRESENTER: Michael Thielscher, http://www.ki.inf.tu-dresden.de/~mit/, firstname.lastname@example.org
AFFILIATION:Department of Computer Science, Dresden University of Technology, http://www.ki.inf.tu-dresden.de/
DATE: Friday 21th April 2006
PLACE: CSE Seminar Room, Level 1 K17
A general game player is a program that accepts formal descriptions
of arbitrary games and plays these games without human intervention.
General game playing requires the abilities to automatically analyze
game descriptions, reason about the effects of moves, and devise
and execute strategies. We show how established knowledge
representation languages for actions can serve as the basis of a
universal game playing program. We provide insights into our system
FLUXPLAYER, which came in co-3rd at the First General Game Playing
World Championship in Pittsburgh last year.
BIOGRAPHY OF SPEAKER:
Michael Thielscher is a C3 professor at Dresden University and head
of the Computational Logic Group since 1997. He received his PhD in
Computer Science from Darmstadt University of Technology. He has been
a guest researcher at the International Computer Science Institute
in Berkeley, at Imperial College in London, at the University of
Toronto, and at the University of New South Wales in Sydney.
In 1998, his Habilitation thesis was honored with the award for
research excellence by the alumni of Darmstadt University of Technology.
Michael Thielscher has organized, or was a PC member of, many conferences
in Computer Science and especially Artificial Intelligence, including
IJCAI, KR, NRAC, KI.
His research is mainly in knowledge representation, cognitive
robotics, commonsense reasoning, and constraint logic programming.
He has published over 70 refereed papers and three books.
Van Hai Ho