{"id":"W2083467094","doi":"10.1006/game.1999.0716","title":"An Example of Dynamic (In)Consistency in Symmetric Extensive Form Evolutionary Games","year":2000,"lang":"en","type":"article","venue":"Games and Economic Behavior","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Mathematical economics; Subgame perfect equilibrium; Consistency (knowledge bases); Extensive-form game; Equilibrium selection; Markov perfect equilibrium; Subgame; Selection (genetic algorithm); Stability (learning theory); Computer science; Mathematics; Sequential game; Mathematical optimization; Nash equilibrium; Game theory; Repeated game; Artificial intelligence; Machine learning","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006960643,0.0001148122,0.0003118713,0.0004132528,0.00005234945,0.00004082474,0.0002983332,0.00007225594,0.001612372],"category_scores_gemma":[0.0000312975,0.0001038348,0.00006506885,0.0003128432,0.0001691517,0.0003540888,0.00003405516,0.00008933517,0.0001533595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006830029,"about_ca_system_score_gemma":0.00005267821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182369,"about_ca_topic_score_gemma":0.001043239,"domain_scores_codex":[0.9985196,0.00006120872,0.0006500115,0.0004594104,0.00009712767,0.0002126663],"domain_scores_gemma":[0.9989725,0.0002829525,0.0001268857,0.0005038189,0.00003247962,0.00008131485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004698042,0.0003183892,0.1646798,0.000003938043,0.000003786077,0.000006370335,0.001126554,0.0002128818,0.0004109745,0.00955695,0.00009888959,0.8235345],"study_design_scores_gemma":[0.0003591046,0.00006572543,0.9690014,0.000009474366,0.00001108031,0.00002287246,0.001501199,0.00269461,0.00003214693,0.02503807,0.001133564,0.0001307988],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972919,0.0004193203,0.00001022093,0.00008771529,0.00005014461,0.0002394131,0.00004818853,0.00001062451,0.001842434],"genre_scores_gemma":[0.9984016,0.00017396,0.0003625461,0.00004058842,0.00001177977,0.00007742087,0.000008275464,0.000007668238,0.0009161662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8234037,"threshold_uncertainty_score":0.9993003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06133991525684419,"score_gpt":0.3326287466656262,"score_spread":0.271288831408782,"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."}}