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Proceedings
The proceedings of SARA-2000 are published as
Volume 1864 of the Lecture Notes in
Artificial Intelligence series of Springer-Verlag.
They can be accessed on-line through the LNCS OnLine LINK
Information Service of Springer-Verlag.
Authors may choose to make their contributions available on their
personal Web page provided they create a link to the LNAI volume at
the Springer-Verlag server or to the LNCS series
Homepage and that, together with the electronic version, they add
"© Springer-Verlag".
Table of contents
Invited talks
- Partial Completeness of Abstract Fixpoint Checking
Patrick Cousot (École normale supérieure)
- An Overview of MAXQ Hierarchical Reinforcement
Learning
Thomas G. Dietterich (Oregon State
University)
- Recent Progress in the Design and Analysis of Admissible
Heuristic Functions
Richard E. Korf (University of
California, Los Angeles) (Power
Point slides)
Tutorial
- GIS Databases: From Multiscale to MultiRepresentation
Stefano Spaccapietra (Swiss Federal Institute of Technology in
Lausanne), Christine Parent (University of Lausanne),
Christelle Vangenot (Swiss Federal Institute of Technology in
Lausanne)
Full papers
- An Abstraction Framework for Soft Constraints, And Its
Relationship with Constraint Propagation
Stefano
Bistarelli (Università di Pisa), Philippe Codognet (Université
Paris VI), Francesca Rossi (Università di Padova)
- Abstractions for Knowledge Organization of Relational
Descriptions
Isabelle Bournaud (Université Paris-Sud),
Melanie Courtine (Université Paris VI), Jean-Daniel Zucker
(Université Paris VI)
- Grid-based Histogram Arithmetic for the Probabilistic
Analysis
Carlos Carreras, Manuel V. Hermenegildo
(Technical University of Madrid)
- Approximating Data in Constraint Databases
Rui Chen,
Min Ouyang, Peter Z. Revesz (University of Nebraska-Lincoln)
- Linearly Bounded Reformulations of Unary Databases
Rada Chirkova, Michael R. Genesereth (Stanford
University)
- A CSP Abstraction Framework
C. Lecoutre, S. Merchez,
F. Boussemart, E. Gregoire (Université d'Artois)
- Interactions of Abstractions in Programming
Gordon
S. Novak Jr. (University of Texas at Austin)
- Reformulation and Approximation in Model Checking
Peter Z. Revesz (University of Nebraska-Lincoln)
- The Lumberjack Algorithm for Learning Linked Decision
Forests
William T.B. Uther, Manuela M. Veloso (Carnegie
Mellon University)
- Reformulating Propositional Satisfiability as Constraint
Satisfaction
Toby Walsh (University of York)
Extended abstracts
- Improving the Efficiency of Reasoning Through
Structure-Based Reformulation
Eyal Amir, Sheila McIlraith
(Stanford University)
- Using Feature Hierarchies in Bayesian Network Learning
Marie desJardins (SRI International), Lise Getoor, Daphne
Koller (Stanford University)
- On Reformulating Planning As Dynamic Constraint
Satisfaction
Jeremy Frank, Ari K. Jonsson, Paul Morris
(NASA Ames Research Center) (Power
Point slides, PostScript
slides )
- Experiments with Automatically Created Memory-Based
Heuristics
Istvan T. Hernadvolgyi, Robert C. Holte
(University of Ottawa)
- Abstraction and Phase Transitions in Relational
Learning
Lorenza Saitta (Università del Piemonte
Orientale), Jean-Daniel Zucker (Université Paris VI)
Posters
- An Agent-Based Approach to Robust Switching Between
Abstraction Levels for Fault Diagnosis
Terrence P. Fries
(Coastal Carolina University), James H. Graham (University of
Louisville)
- A Compositional Approach to Causality
T.K. Satish
Kumar (Stanford University)
- A Method for Finding Consistent Hypotheses Using
Abstraction
Yoshiaki Okubo, Makoto Haraguchi, Yan Fang
Zheng (Hokkaido University)
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