{"id":"W4315488811","doi":"10.1109/cdc51059.2022.9992551","title":"Game-Theoretic Steady-State Control","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 61st Conference on Decision and Control (CDC)","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Nash equilibrium; Computer science; Constant (computer programming); Set (abstract data type); Controller (irrigation); Work (physics); Mathematical optimization; Steady state (chemistry); State (computer science); Function (biology); Control (management); Game theory; Mathematics; Mathematical economics; Engineering; Artificial intelligence; Algorithm","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":[0.0008456264,0.0009467824,0.000732849,0.0004204071,0.0005160211,0.001523127,0.001735543,0.001051026,0.00421727],"category_scores_gemma":[0.001666094,0.0002706154,0.0004630245,0.0004331479,0.001678167,0.001230063,0.00164528,0.001164665,0.0005472644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001355292,"about_ca_system_score_gemma":0.001377643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003835647,"about_ca_topic_score_gemma":0.002894008,"domain_scores_codex":[0.9993748,0.000205129,0.00002099687,0.0001437113,0.000162295,0.00009317328],"domain_scores_gemma":[0.9995077,0.0002200409,0.00007225099,0.00004022109,0.0001152126,0.00004467321],"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":[0.00003490935,0.00004125147,0.0001546646,0.0000735319,0.0000286471,0.00009320745,0.00008524613,0.7746014,0.002087112,0.2131499,0.001152483,0.008497649],"study_design_scores_gemma":[0.00001814718,0.00004137717,0.00004521801,0.000008227754,0.000007282139,0.00001675842,0.00001902356,0.9409336,0.0003473881,0.05669573,0.001859911,0.000007237662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008120855,0.0001324505,0.9707198,0.000348788,0.00005248208,0.00009134202,0.00006619668,0.0001264786,0.02034163],"genre_scores_gemma":[0.8983989,0.0004068808,0.08926919,0.0002602684,0.00006429727,0.0005069359,0.0001075513,0.00003729806,0.01094884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00421727,"threshold_uncertainty_score":0.01410818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009062889380269043,"score_gpt":0.2178040960203059,"score_spread":0.2087412066400369,"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."}}