{"id":"W2095823527","doi":"10.1109/tac.2012.2228032","title":"Mean Field Stochastic Adaptive Control","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Population; Limit (mathematics); Nash equilibrium; Mathematics; Function (biology); Dynamical systems theory; Field (mathematics); Yield (engineering); Mathematical optimization; Applied mathematics; Control theory (sociology); Computer science; Control (management); Mathematical analysis; Physics","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":[0.0007910682,0.0006327231,0.0008198309,0.0004985019,0.0004709364,0.0009396229,0.0008051601,0.001094664,0.002242083],"category_scores_gemma":[0.002368178,0.0002249354,0.0005602783,0.0005314377,0.0009794221,0.0005699198,0.0008185316,0.001000591,0.0003289055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008614472,"about_ca_system_score_gemma":0.0007844346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003669659,"about_ca_topic_score_gemma":0.00231769,"domain_scores_codex":[0.9995337,0.0001444771,0.00001810423,0.0001126505,0.0001479734,0.00004311463],"domain_scores_gemma":[0.9993328,0.0003764101,0.00008209044,0.00004650312,0.0001334427,0.00002868731],"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":[0.00005219338,0.0000401769,0.0004050695,0.0001134799,0.00007154723,0.00006517202,0.00005827715,0.7662712,0.002743121,0.1667417,0.002372699,0.06106544],"study_design_scores_gemma":[0.000007952573,0.000025956,0.0000892301,0.000006428268,0.000005683367,0.00001341966,0.000002674059,0.9785153,0.00018173,0.0199533,0.001190449,0.000007914977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005694074,0.0005731272,0.9864818,0.0003208441,0.0001319736,0.00002941978,0.0000284727,0.0001664304,0.006573904],"genre_scores_gemma":[0.913313,0.001035249,0.07260168,0.0004459189,0.0003059301,0.0002578557,0.00009321758,0.00005545294,0.01189168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003669659,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04690841273109705,"score_gpt":0.3253312673978219,"score_spread":0.2784228546667248,"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."}}