Last Update: July 15, 2000


icon3 Tentative Schedule:

July19
13:40 Opening Session
14:00 Session 1: Language/Perception
M. Imai, I.Kobayashi, T. Ozaki and K. Furukawa
Mechanism of Lexical Development
S.White and D. Sleeman
A Constraint-Based Approach to the Description & Detection of Fitness-for-Purpose
R. Orihara, T. Murakami, T. Yokota and N. Sueda
Improvement of Perception through Task Executions
15:30 Coffee
16:00 Session 2: Motor Skill / Music
J.A. Robinson
Selection and Learning of Fingering Plans in Piano Playing
K. Furukawa, K.Ueno and M. Bain
Motor Skill as Dynamic Constraint Satisfaction
D. Suc and I. Bratko
Qualitative Trees Applied to Bicycle Riding -DRAFT
P. Modler
Creating, Discovering and Learning: the Use of Interactive Gestural Interfaces for Computer Music Instruments
19:00 Dinner

July20
9:00Session 3: Long-term Learning
M. Bain and C. Sammut
Perpetual Learning
M. Numao
Long-term Learning in Global Intelligence
10:00 Coffee Break
10:30 Session 4: Inductive Learning
H. Arimura
Text Data Mining with Optimized Pattern Discovery
R. Khardon
Recent Progress in Learning Horn Expressions with Queries
T. Sato
Program Extraction from Quantified Decision Trees
S. Muggleton
Experiments with McCarthy's Appearance and Reality Problem
12:00 Lunch
13:00 Tea Ceremony
14:00 Session 5: Knowledge Discovery in Biology / Science
J. Cohen
Cell Regulation: The Challenging Problem of Inferring Cell Behavior From Micro-Array Data
M. Turcotte, S. Muggleton and M. J. E. Sternberg
Learning Protein Structure Principles
R. King
Logic and the Automatic Acquisition of Scientific Knowledge
15:30 Coffee Break
16:00 Session 6: Abduction/ Analogy
P. Flach and A.Kakas
The Cycle of Abductive and Inductive Knowledge Development
M. Haraguchi
Analogical Classifications based on Abstractions
17:00 Session 7: Constructive Induction
J.W.Lloyd
Predicate Discovery in Higher-order Logic
D. Kudenko
Ontology-Based Constructive Induction
19:00 Banquet
21:00 Concert

July21
9:00 Session 8: Probabilistic Logic Programming
S. Muggleton
Learning Stochastic Logic Programs
K.Kersting and L. De Raedt
Bayesian Logic Programs
10:00 Coffee Break
10:30 Session 9: Discovery
S. Colton
Theory Formation Applied to Discovery, Learning and Problem Solving
T. Walsh
The Limits of Model-based Discovery?
D. Michie
Discovery As Collaboration
12:00 Closing Session
12:30 End of the Workshop

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Homepage Objective Topics of Interests Workshop Organizers Venue Paper Submission Important Dates
E-Mail to ueno@sfc.keio.ac.jp if you have any question.