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A combinatorial problem which is complete in polynomial space

Published: 05 May 1975 Publication History
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  • Abstract

    We consider a generalization, which we call the Shannon switching game on vertices, of a familiar board game called HEX. We show that determining who wins such a game if each player plays perfectly is very hard; in fact, it is as hard as carrying out any polynomial-space-bounded computation. This result suggests that the theory of combinatorial games is difficult.

    References

    [1]
    S. Chase, "An implemented graph algorithm for winning Shannon switching games," IBM Research Technical Report RC-3121, Yorktown Heights, New York (1970).
    [2]
    S. Cook, "The complexity of theorem-proving procedures," Proceedings Third Annual ACM Symposium on Theory of Computing (1971), 151-158.
    [3]
    R. Karp, "Reducibility among combinatorial problems," Complexity of Computer Computations, R.E. Miller and J.W. Thatcher, eds., Plenum Press, New York (1972), 85-104.
    [4]
    A.R. Meyer and L.J. Stockmeyer, "Words problems requiring exponential time," Proceedings Fifth Annual ACM Symposium on Theory of Computing (1973), 1-9.
    [5]
    N. Nilsson, Problem-Solving Methods in Artificial Intelligence, McGraw-Hill, New York (1971).
    [6]
    R. Tarjan, unpublished notes (1974).
    [7]
    R. Tarjan, "Depth-first search and linear graph algorithms," SIAM J. Comput., Vol. 1, No. 2 (1972), 146-160.

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    cover image ACM Conferences
    STOC '75: Proceedings of the seventh annual ACM symposium on Theory of computing
    May 1975
    265 pages
    ISBN:9781450374194
    DOI:10.1145/800116
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    New York, NY, United States

    Publication History

    Published: 05 May 1975

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    Author Tags

    1. Completeness in polynomial space
    2. Computational complexity
    3. HEX
    4. Shannon switching game

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    STOC '75 Paper Acceptance Rate 31 of 87 submissions, 36%;
    Overall Acceptance Rate 1,469 of 4,586 submissions, 32%

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