{"id":"W2911650095","doi":"10.1109/cdc.2018.8619499","title":"Mean Field Game Systems with Common and Latent Processes","year":2018,"lang":"en","type":"article","venue":"","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Nash equilibrium; Best response; Markov process; Game theory; Computer science; Markov chain; Limit (mathematics); Strategy; Mathematical optimization; Sequential game; Markov decision process; Mathematical economics; Mathematics; Machine learning; Statistics","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":[0.002747555,0.001157695,0.001714501,0.0007958345,0.0007329876,0.002100951,0.001775529,0.002305385,0.002746531],"category_scores_gemma":[0.006826518,0.0006264073,0.001231718,0.0005291581,0.003344331,0.002882653,0.001842826,0.002098776,0.0002826705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002521551,"about_ca_system_score_gemma":0.001364004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005557728,"about_ca_topic_score_gemma":0.003878418,"domain_scores_codex":[0.99774,0.001125356,0.00007312573,0.0004484846,0.0003345573,0.000278357],"domain_scores_gemma":[0.9960985,0.002545804,0.0006235354,0.0001998306,0.0002337511,0.0002985291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005311332,0.00004636608,0.0005475813,0.00004302552,0.00004960451,0.0002207381,0.0001572464,0.2429248,0.001282106,0.7514535,0.0004847141,0.002737175],"study_design_scores_gemma":[0.00002482299,0.00002879297,0.000199738,0.000005845955,0.00001245882,0.00002929715,0.00003198745,0.84021,0.0001429466,0.1587981,0.0004973815,0.0000186146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1371986,0.0003082865,0.8512465,0.001191887,0.00005786623,0.00009562864,0.0001880144,0.0001406917,0.009572537],"genre_scores_gemma":[0.9503706,0.0002844101,0.0378567,0.0001855231,0.00007786277,0.0002610618,0.0001126429,0.0000345685,0.01081672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005557728,"threshold_uncertainty_score":0.01829517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0242311842352705,"score_gpt":0.2139207018039701,"score_spread":0.1896895175686996,"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."}}