Call For Papers Workshop on Logic and Learning Affiliated with LICS 2001 June 19-20, 2001, Boston, Massachusetts http://www.eecs.tufts.edu/~roni/LicsWksp/ Logic has been used as the underlying representation language in many areas of AI including machine learning. Learnability of logical expressions has been studied in many paradigms including PAC learning, query based learning, inductive inference, and inductive logic programming. There are theoretical results on learning in propositional logic as well as for logic programs, description logic, and fragments of first-order logic. The techniques applied are probabilistic and combinatorial, recursion theoretic, proof theoretic, and model theoretic. The workshop aims to focus on such logic-based results and techniques for learning, fostering further understanding of the use of logic in learning. The workshop has a two-fold objective: to provide an introduction to the area for those who work in other LICS areas and are interested in applying logic to learning, and to provide a forum for research in the area of logic learning. The workshop will feature invited talks by experts in the field, and contributed talks presenting new research results. Confirmed invited speakers include: Peter Flach (University of Bristol, UK), Lisa Hellerstein (Polytechnic University, USA), Arun Sharma (University of New South Wales, Australia), and Leslie Valiant (Harvard University, USA). We invite submissions of papers presenting new results and/or position papers highlighting particular aspects of logic and learning. No publication of proceedings is planned but accepted papers will be collected in a booklet of workshop notes. A selection of papers from the workshop may be published in a special issue of The Annals of Mathematics and Artificial Intelligence. Participants will be invited to submit full versions for this special issue. Topics of interest include (but are not limited to): inductive logic programming, logical aspects of inductive inference, PAC and related learning models for logic, finite model theory and learning, logical aspects of natural language learning. Submitted papers should be extended abstracts of 2-6 pages in length. Papers should be submitted, preferably in electronic form in Postscript format, to: roni@eecs.tufts.edu. Alternatively, printed copies can be sent to : Roni Khardon EECS Department, Tufts University 161 College Ave., Medford, MA 02155, USA Important dates: submission: 3/15, notification of acceptance: 4/15. Workshop Organizers: Roni Khardon, Tufts University, USA, email: roni@eecs.tufts.edu György Turán, University of Illinois at Chicago, USA, email: gyt@uic.edu Program Committee: N. Bshouty (Technion, Israel) J. Lloyd (ANU, Australia) E. Martin (UNSW, Australia) S. Muggleton (University of York, UK) P. Tadepalli (Oregon State University, USA) A. Yamamoto (Hokkaido University, Japan) Web Info: * Workshop Web Page: http://www.eecs.tufts.edu/~roni/LicsWksp/ * The IEEE Symposium on Logic in Computer Science (LICS) 2001 http://www.cs.bu.edu/faculty/mairson/LICS01/index.html * LICS main web site http://www.math.uic.edu/lics/ ------------------- MLnet community list http://www.mlnet.org/mlnet2/services/mlnet-community.html