Research map / Learning theory and algorithms / Combinatorial and search optimization
Tractable Abstract Argumentation via Backdoor-Treewidth
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Combine argTW with argBTW in a portfolio, running argTW first | Stable-extension counting on Scenario B · Scenario B combined | solved instances: 908 -> 1110 | Helped |
| Use the torso/backdoor-treewidth approach instead of treewidth-only solving (ablation) | Stable-extension counting · Scenario B2 | solved instances: 184 -> 377 | Helped |
| Use the torso/backdoor-treewidth approach instead of treewidth-only solving (ablation) | Stable-extension counting · Scenario B3 | solved instances: 300 -> 252 | Hurt |
| Use the torso/backdoor-treewidth approach instead of treewidth-only solving (ablation) | Stable-extension counting · Scenario B1 | solved instances: 378 -> 279 | Hurt |
| Use backdoor-treewidth rather than treewidth-only solving (ablation) | Stable-extension solving · Scenario A | runtime | Mixed |
| Use backdoor-treewidth rather than backdoor-size-only solving (ablation) | Stable-extension solving · Scenario A | solved instances | Helped |
| Use backdoor-treewidth to count extensions instead of ASP | Stable-extension counting · Scenario B combined | solved instances: 220 -> 908 | Helped |
| Use backdoor-treewidth to count admissible extensions instead of ASP | Admissible-extension counting · Scenario B combined | solved instances: 0 -> 468 | Helped |
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