Thomas A. Montgomery and Edmund H. Durfee. "Search<E-388> Reduction in Hierarchical Distributed Problem Solving." Group Decision and<E-411> Negotiation 2:301-317 (Special issue on Distributed Artificial Intelligence), 1993.<E-413>

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This paper is cited in the following contexts:
Distributed Problem Solving and Planning - Durfee (1999)   (18 citations)  Self-citation (Durfee)   (Correct)

.... ) Again, since k E 456 (and hence f(k) is constant, and l=log E 180 k E 207 n, this reduces simply to O(log E 350 k E 380 n) This means E 432 that through decomposition and parallel problem solving, the exponential ToH E 418 problem can be reduced to logarithmic time complexity [Montgomery 1993]. E 387 What the ToH problem illustrates is the potential for improved parallelism due to E 447 distributed problem solving in the ideally decomposable case. Unfortunately, few E 433 problems satisfy the assumptions in this analysis of ToH, including: E 321 1. There is no backtracking back ....

Thomas A. Montgomery and Edmund H. Durfee. "Search<E-388> Reduction in Hierarchical Distributed Problem Solving." Group Decision and<E-411> Negotiation 2:301-317 (Special issue on Distributed Artificial Intelligence), 1993.<E-413>

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