{"id":"W2146226507","doi":"","title":"On Strategy Stitching in Large Extensive Form Multiplayer Games","year":2011,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Image stitching; Computer science; Abstraction; Combinatorial game theory; Granularity; Class (philosophy); Sequential game; Tree (set theory); Competition (biology); Theoretical computer science; Game theory; Human–computer interaction; Artificial intelligence; Programming language; Mathematical economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002201453,0.0009287489,0.000736973,0.0008577462,0.001060517,0.001373144,0.001241778,0.001237252,0.00307271],"category_scores_gemma":[0.01214741,0.0005376547,0.0007044439,0.0007606408,0.003441702,0.003965667,0.00310568,0.00234037,0.0003398476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009655581,"about_ca_system_score_gemma":0.0006392247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00225123,"about_ca_topic_score_gemma":0.002027943,"domain_scores_codex":[0.9982339,0.0008095427,0.00008647862,0.00026093,0.000401429,0.0002077248],"domain_scores_gemma":[0.9929007,0.005437972,0.0004308267,0.0005986032,0.0002752389,0.0003566802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000410431,0.0002837948,0.002531566,0.0002065466,0.00007354575,0.0003450984,0.002380106,0.4309623,0.009686051,0.4134357,0.001646566,0.1380384],"study_design_scores_gemma":[0.0000537063,0.0002369012,0.0005956442,0.00003649583,0.00002408583,0.0001036951,0.0002124393,0.740803,0.002754519,0.2514042,0.003743652,0.00003171602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1236195,0.0004682316,0.8593357,0.0004426346,0.00003490841,0.0001248603,0.00002589111,0.0003259516,0.01562236],"genre_scores_gemma":[0.7612894,0.000432168,0.2331686,0.0001656915,0.00006107932,0.0001618355,0.00005131518,0.00009621671,0.004573718],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00307271,"threshold_uncertainty_score":0.01164252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07026642102134557,"score_gpt":0.3023677921228669,"score_spread":0.2321013711015213,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}