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Computers and Games

Overview of attention for book
Cover of 'Computers and Games'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Solving Hex: Beyond Humans
  3. Altmetric Badge
    Chapter 2 Job-Level Proof-Number Search for Connect6
  4. Altmetric Badge
    Chapter 3 Evaluation-Function Based Proof-Number Search
  5. Altmetric Badge
    Chapter 4 On the Scalability of Parallel UCT
  6. Altmetric Badge
    Chapter 5 Scalability and Parallelization of Monte-Carlo Tree Search
  7. Altmetric Badge
    Chapter 6 Biasing Monte-Carlo Simulations through RAVE Values
  8. Altmetric Badge
    Chapter 7 Computational Experiments with the RAVE Heuristic
  9. Altmetric Badge
    Chapter 8 Monte-Carlo Simulation Balancing in Practice
  10. Altmetric Badge
    Chapter 9 Score Bounded Monte-Carlo Tree Search
  11. Altmetric Badge
    Chapter 10 Improving Monte–Carlo Tree Search in Havannah
  12. Altmetric Badge
    Chapter 11 Node-Expansion Operators for the UCT Algorithm
  13. Altmetric Badge
    Chapter 12 Monte-Carlo Opening Books for Amazons
  14. Altmetric Badge
    Chapter 13 A Principled Method for Exploiting Opening Books
  15. Altmetric Badge
    Chapter 14 A Human-Computer Team Experiment for 9x9 Go
  16. Altmetric Badge
    Chapter 15 Consultation Algorithm for Computer Shogi: Move Decisions by Majority
  17. Altmetric Badge
    Chapter 16 Optimistic Selection Rule Better Than Majority Voting System
  18. Altmetric Badge
    Chapter 17 Knowledge Abstraction in Chinese Chess Endgame Databases
  19. Altmetric Badge
    Chapter 18 Rook Jumping Maze Design Considerations
  20. Altmetric Badge
    Chapter 19 A Markovian Process Modeling for Pickomino
  21. Altmetric Badge
    Chapter 20 New Solutions for Synchronized Domineering
  22. Altmetric Badge
    Chapter 21 The Lattice Structure of Three-Player Games
  23. Altmetric Badge
    Chapter 22 Enhancements for Multi-Player Monte-Carlo Tree Search
  24. Altmetric Badge
    Chapter 23 Nearly Optimal Computer Play in Multi-player Yahtzee
  25. Altmetric Badge
    Chapter 24 Extraversion in Games
Attention for Chapter 10: Improving Monte–Carlo Tree Search in Havannah
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
2 Wikipedia pages

Readers on

mendeley
7 Mendeley
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Chapter title
Improving Monte–Carlo Tree Search in Havannah
Chapter number 10
Book title
Computers and Games
Published in
Lecture notes in computer science, September 2010
DOI 10.1007/978-3-642-17928-0_10
Book ISBNs
978-3-64-217927-3, 978-3-64-217928-0
Authors

Richard J. Lorentz, Lorentz, Richard J.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Professor 1 14%
Researcher 1 14%
Student > Doctoral Student 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 6 86%
Unknown 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 July 2023.
All research outputs
#7,455,649
of 22,793,427 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,127 outputs
Outputs of similar age
#34,774
of 97,192 outputs
Outputs of similar age from Lecture notes in computer science
#13
of 58 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 97,192 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.