Organizing committee:
Bernhard Nebel, Barbara Smith, Christian Suttner and Toby Walsh.
The last few years have witnessed a major growth in the use of empirical
methods in artificial intelligence. This one day workshop will focus on the
role of empirical methods in AI. Attention will be given both to the
traditional factors found in other empirical sciences (for example, the
statistical analysis of results) and to some of the novel features of
computational experiments (for example, how to measure performance in a
machine or implementation independent way). The topics addressed may include
(but are not limited to) the following areas:
o the design of computational experiments
o the measurement of algorithm performance
o the choice of problem sets
o the analysis of computational results
o the role of theoretical models in experiments
The domains of interest will cover all areas of AI including constraint
satisfaction, game playing, machine learning, natural language, neural
networks, planning, robotics, satisfiability, speech recognition, theorem
proving, and vision.
The workshop will run for one day and will consist of an invited talk,
and three panels. For the invited talk, a leading figure in AI will discuss
the role and prospects for empirical methods in AI. For the panels,
participants will submit a statement of interest, from which three
"hot topics" will be identified. To participate in this workshop please
fill in the application form and questionnaire available at
http://dream.dai.ed.ac.uk/group/tw/form.html by 1st May 1998. A list of the
panel topics and of the participants will be announced on 15th May 1998.
The main aim of the organizers will be to limit formal presentations and
encourage discussion and debate.
Calendar:
1 May 1998 Submission of statement of interest
15 May 1998 Notification of acceptance
24 August 1998 Workshop
For more information about this workshop, please contact:
Toby Walsh
t...@cs.strath.ac.uk
Department of Computer Science
University of Strathclyde
Glasgow G1 1XL
Tel: +44 (141) 552 4400 ext 4527
Fax: +44 (141) 552 5330