July19
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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
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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
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19:00 | Dinner |
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July20
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9:00 | Session 3: Long-term Learning
- M. Bain and C. Sammut
- Perpetual Learning
- M. Numao
- Long-term Learning in Global Intelligence
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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
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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
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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
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17:00 | Session 7: Constructive Induction
- J.W.Lloyd
- Predicate Discovery in Higher-order Logic
- D. Kudenko
- Ontology-Based Constructive Induction
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19:00 | Banquet |
21:00 | Concert |
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July21 | |
9:00 |
Session 8: Probabilistic Logic Programming
- S. Muggleton
- Learning Stochastic Logic Programs
- K.Kersting and L. De Raedt
- Bayesian Logic Programs
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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
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12:00 | Closing Session |
12:30 | End of the Workshop |