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Research map / Learning theory and algorithms / Combinatorial and search optimization

Parallel Constraint Acquisition

AAAI 2021 · Learning theory and algorithms › Combinatorial and search optimization · approach: Structure and complexity of constraint reasoning · 3 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Run acquisition in parallel sessions instead of one sequential sessionQUACQ on Queens · Queensqueries per user (#q): 6K -> 534Helped
Run acquisition in parallel sessions instead of one sequential sessionQUACQ on Sudoku · Sudokuacquisition rate (%A): 76 -> 100Helped
Run acquisition in parallel sessions instead of one sequential sessionQUACQ on Latin Square · Latin Squarequeries per user (#q): 11K -> 192Helped
Run acquisition in parallel sessions instead of one sequential sessionQUACQ on Meeting Scheduling msp 27 · Meeting Scheduling msp 27acquisition rate (%A): 36 -> 89Helped
Use more parallel sessionsPACQ on Latin Square · Latin Squaretotal queries (#Q): 11K -> 19KHurt
Use bdeg variable heuristic rather than random variable ordering (ablation)PACQ on Jigsaw Sudoku · Jigsaw Sudokuacquisition time (TA): 11 -> 1Helped
Use bdeg variable heuristic and Rule-based partition rather than random ordering and partition (ablation)PACQ on Jigsaw Sudoku · Jigsaw Sudokuconvergence rate (%C): 98% -> 99%Helped
Use bdeg variable heuristic rather than random variable ordering (ablation)PACQ on Meeting Scheduling msp 27 · Meeting Scheduling msp 27acquisition rate (%A): 78 -> 67Hurt
Use Rule-based partition with bdeg rather than random partition with bdeg (ablation)PACQ on Meeting Scheduling msp 27 · Meeting Scheduling msp 27acquisition rate (%A): 67 -> 67No clear effect
Use Rule-based partition with bdeg rather than random partition with bdeg (ablation)PACQ on Meeting Scheduling msp 27 · Meeting Scheduling msp 27convergence rate (%C): 99 -> 99No clear effect
Use distributed sessions that generate examples over each session's own variables (ablation)PACQ on Meeting Scheduling · Meeting SchedulingconvergenceHelped
Use parallel sessions rather than QUACQConstraint acquisition across the reported benchmarks · Reported benchmarkstotal queries (#Q): 2 and 4Mixed

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