Table 4: Summary of strategy problem experiment results Experimental input Number of domains Complexity Problem size when complexity is high Between domains Within domains (Kw) Number of decisions Number of (Kb) per domain (D) domains (S) Decision weaving Decision weaving & Decision weaving, Decision Decision weaving Best process when Low value Chunky search Chunky search, & weaving Local search Decision weaving Decision weaving Decision weaving Decision Decision weaving Best process when High weaving & value Chunky search Decreases initially Increases Increases Decreases to Decreases but holds As value increases the and then remains nothing performance gap… steady
Table 4: Summary of strategy problem experiment results Experimental input Complexity Problem size Number of domains when complexity is high Between domains (Kb) Within domains (Kw) Number of decisions per domain (D) Number of domains (S) Best process when Low value Decision weaving Decision weaving & Chunky search Decision weaving, Chunky search, & Local search Decision weaving Decision weaving Best process when High value Decision weaving Decision weaving Decision weaving Decision weaving & Chunky search Decision weaving As value increases the performance gap… Decreases initially and then remains steady Increases Increases Decreases to nothing Decreases but holds
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