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A cellular automaton for blocking queen games

Authors: Cook Matthew; Larsson Urban; Neary Turlough;

A cellular automaton for blocking queen games

Abstract

We show that the winning positions of a certain type of two-player game form interesting patterns which often defy analysis, yet can be computed by a cellular automaton. The game, known as {\em Blocking Wythoff Nim}, consists of moving a queen as in chess, but always towards (0,0), and it may not be moved to any of $k-1$ temporarily "blocked" positions specified on the previous turn by the other player. The game ends when a player wins by blocking all possible moves of the other player. The value of $k$ is a parameter that defines the game, and the pattern of winning positions can be very sensitive to $k$. As $k$ becomes large, parts of the pattern of winning positions converge to recurring chaotic patterns that are independent of $k$. The patterns for large $k$ display an unprecedented amount of self-organization at many scales, and here we attempt to describe the self-organized structure that appears.

14 pages, 12 figures, 21st IFIP WG 1.5 International Workshop, AUTOMATA 2015, Turku, Finland, June 8-10, 2015

Country
Switzerland
Keywords

Self-organization, Cellular automata, Dynamical Systems (math.DS), [INFO] Computer Science [cs], Blocking Wythoff Nim; Self-organization; Cellular automata; Wythoff Nim, Wythoff Nim, 1706 Computer Science Applications, FOS: Mathematics, 570 Life sciences; biology, Mathematics - Combinatorics, 1700 General Computer Science, Combinatorics (math.CO), Mathematics - Dynamical Systems, Blocking Wythoff Nim, 2614 Theoretical Computer Science, 68Q80, 91A46, 10194 Institute of Neuroinformatics

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
Green
bronze