{"id":"W1966069485","doi":"10.1016/j.ijpe.2011.06.004","title":"Games with incomplete information: A simplified exposition with inventory management applications","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Complete information; Subgame perfect equilibrium; Mathematical economics; Computer science; Stochastic game; Nash equilibrium; Equilibrium selection; Bayesian game; Epsilon-equilibrium; Markov perfect equilibrium; Solution concept; Best response; Sequential equilibrium; Bayesian probability; Extensive-form game; Correlated equilibrium; Supply chain; Mathematical optimization; Sequential game; Game theory; Repeated game; Economics; Mathematics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002745329,0.000130321,0.0001284377,0.0005900076,0.00007632306,0.0001852937,0.0003552888,0.00002330328,0.0002448352],"category_scores_gemma":[0.000006812922,0.0001089728,0.00005349925,0.0001407369,0.00008106104,0.003482715,0.00007521402,0.0000936893,0.00009695599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00014295,"about_ca_system_score_gemma":0.00002368949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002302455,"about_ca_topic_score_gemma":0.00001762351,"domain_scores_codex":[0.9990626,0.000006215074,0.0004564424,0.0001392406,0.0002194544,0.0001160728],"domain_scores_gemma":[0.9984785,0.000003936943,0.0008005824,0.0001686006,0.0005299532,0.00001846547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004006323,0.001300425,0.04023529,0.0004717674,0.003286897,0.00007036755,0.001905834,0.01381694,0.00007137116,0.7493528,0.02836141,0.1571206],"study_design_scores_gemma":[0.002270096,0.0001491452,0.01135877,0.0001442127,0.0002018944,0.0001784433,0.003321805,0.0008596333,0.0003746856,0.01225893,0.9684488,0.0004335611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6310444,0.0001000755,0.1422732,0.00999756,0.006510139,0.002407707,0.00001622932,0.0002429228,0.2074078],"genre_scores_gemma":[0.9916478,0.00006540886,0.004071982,0.001789886,0.002025073,0.00007320166,0.00005194109,0.00001922891,0.0002555061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9400874,"threshold_uncertainty_score":0.444378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122793729881892,"score_gpt":0.1910661416484935,"score_spread":0.1698382043496746,"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."}}