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Abstraction, Reformulation, and Approximation: 4th International Symposium, SARA 2000 Horseshoe Bay, USA, July 26–29, 2000 Proceedings Author: Berthe Y. Choueiry, Toby Walsh Published by Springer Berlin Heidelberg ISBN: 978-3-540-67839-7 DOI: 10.1007/3-540-44914-0 Table of Contents: Partial Completeness of Abstract Fixpoint Checking An Overview of MAXQ Hierarchical Reinforcement Learning Recent Progress in the Design and Analysis of Admissible Heuristic Functions GIS Databases: From Multiscale to MultiRepresentation An Abstraction Framework for Soft Constraints and Its Relationship with Constraint Propagation Abstractions for Knowledge Organization of Relational Descriptions Grid-Based Histogram Arithmetic for the Probabilistic Analysis of Functions Approximating Data in Constraint Databases Linearly Bounded Reformulations of Unary Databases A CSP Abstraction Framework Interactions of Abstractions in Programming Reformulation and Approximation in Model Checking The Lumberjack Algorithm for Learning Linked Decision Forests Reformulating Propositional Satisfiability as Constraint Satisfaction Improving the Efficiency of Reasoning Through Structure-Based Reformulation Using Feature Hierarchies in Bayesian Network Learning On Reformulating Planning as Dynamic Constraint Satisfaction Experiments with Automatically Created Memory-Based Heuristics Abstraction and Phase Transitions in Relational Learning An Agent-Based Approach to Robust Switching Between Abstraction Levels for Fault Diagnosis
This volume explores advanced techniques in artificial intelligence and computer science, focusing on methods for simplifying complex problems. The proceedings of the 4th International Symposium on Abstraction, Reformulation, and Approximation (SARA 2000) present research on how to represent problems at different levels of detail, transform them into more tractable forms, and find approximate solutions when exact ones are infeasible. The papers cover a wide range of applications, from constraint satisfaction and planning to machine learning and database management, highlighting the theoretical underpinnings and practical implementations of these core AI concepts.
This collection of papers from the SARA 2000 symposium offers a deep dive into the theoretical and practical aspects of abstraction, reformulation, and approximation in artificial intelligence. The research presented likely appeals to academics and practitioners in fields such as machine learning, constraint satisfaction, and database systems. The diverse topics covered suggest a comprehensive overview of the state-of-the-art in these areas at the turn of the millennium, providing valuable insights for those working on complex computational problems.
Page Count:
418
Publication Date:
2007-01-01
ISBN-10:
3540735798
ISBN-13:
9783540735793
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