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Abstraction, Reformulation, and Approximation

Overview of attention for book
Cover of 'Abstraction, Reformulation, and Approximation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Model Checking and Abstraction
  3. Altmetric Badge
    Chapter 2 Reformulation in Planning
  4. Altmetric Badge
    Chapter 3 Spatiotemporal Abstraction of Stochastic Sequential Processes
  5. Altmetric Badge
    Chapter 4 State Space Relaxation and Search Strategies in Dynamic Programming
  6. Altmetric Badge
    Chapter 5 Admissible Moves in Two-Player Games
  7. Altmetric Badge
    Chapter 6 Dynamic Bundling: Less Effort for More Solutions
  8. Altmetric Badge
    Chapter 7 Symbolic Heuristic Search Using Decision Diagrams
  9. Altmetric Badge
    Chapter 8 On the Construction of Human-Automation Interfaces by Formal Abstraction
  10. Altmetric Badge
    Chapter 9 Pareto Optimization of Temporal Decisions
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    Chapter 10 An Information-Theoretic Characterization of Abstraction in Diagnosis and Hypothesis Selection
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    Chapter 11 A Tractable Query Cache by Approximation
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    Chapter 12 An Algebraic Framework for Abstract Model Checking
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    Chapter 13 Action Timing Discretization with Iterative-Refinement
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    Chapter 14 Formalizing Approximate Objects and Theories: Some Initial Results
  16. Altmetric Badge
    Chapter 15 Model Minimization in Hierarchical Reinforcement Learning
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    Chapter 16 Learning Options in Reinforcement Learning
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    Chapter 17 Approximation Techniques for Non-linear Problems with Continuum of Solutions
  19. Altmetric Badge
    Chapter 18 Approximation of Relations by Propositional Formulas: Complexity and Semantics
  20. Altmetric Badge
    Chapter 19 Abstracting Visual Percepts to Learn Concepts
  21. Altmetric Badge
    Chapter 20 PAC Meditation on Boolean Formulas
  22. Altmetric Badge
    Chapter 21 On the Reformulation of Vehicle Routing Problems and Scheduling Problems
  23. Altmetric Badge
    Chapter 22 The Oracular Constraints Method
  24. Altmetric Badge
    Chapter 23 Performance of Lookahead Control Policies in the Face of Abstractions and Approximations
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    Chapter 24 TTree: Tree-Based State Generalization with Temporally Abstract Actions
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    Chapter 25 Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction
  27. Altmetric Badge
    Chapter 26 Abstracting Imperfect Information Game Trees
  28. Altmetric Badge
    Chapter 27 Using Abstraction for Heuristic Search and Planning
  29. Altmetric Badge
    Chapter 28 Approximation Techniques in Multiagent Learning
  30. Altmetric Badge
    Chapter 29 Abstraction and Reformulation in GraphPlan
  31. Altmetric Badge
    Chapter 30 Abstract Reasoning for Planning and Coordination
  32. Altmetric Badge
    Chapter 31 Research Summary: Abstraction Techniques, and Their Value
  33. Altmetric Badge
    Chapter 32 Reformulation of Non-binary Constraints
  34. Altmetric Badge
    Chapter 33 Reformulating Combinatorial Optimization as Constraint Satisfaction
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    Chapter 34 Autonomous Discovery of Abstractions through Interaction with an Environment
  36. Altmetric Badge
    Chapter 35 Interface Verification: Discrete Abstractions of Hybrid Systems
  37. Altmetric Badge
    Chapter 36 Learning Semi-lattice Codebooks for Image Compression
  38. Altmetric Badge
    Chapter 37 Research Summary
  39. Altmetric Badge
    Chapter 38 Principled Exploitation of Heuristic Information
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    Chapter 39 Reformulation of Temporal Constraint Networks
Attention for Chapter 5: Admissible Moves in Two-Player Games
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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1 blog

Citations

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Chapter title
Admissible Moves in Two-Player Games
Chapter number 5
Book title
Abstraction, Reformulation, and Approximation
Published in
Lecture notes in computer science, January 2002
DOI 10.1007/3-540-45622-8_5
Book ISBNs
978-3-54-043941-7, 978-3-54-045622-3
Authors

Tristan Cazenave

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 50%
Unknown 1 50%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Professor > Associate Professor 1 50%
Readers by discipline Count As %
Environmental Science 1 50%
Computer Science 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 March 2012.
All research outputs
#5,532,941
of 22,663,969 outputs
Outputs from Lecture notes in computer science
#1,760
of 8,123 outputs
Outputs of similar age
#21,352
of 122,606 outputs
Outputs of similar age from Lecture notes in computer science
#8
of 39 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 122,606 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.