{"id":"W3049088669","doi":"10.1109/tac.2020.3016903","title":"Heterogeneous Mixed Populations of Best-Responders and Imitators: Equilibrium Convergence and Stability","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; Alberta Environment and Parks","keywords":"Population; Best response; Stochastic game; Nash equilibrium; Mathematical economics; Computer science; Economics; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002160515,0.0008163222,0.001276958,0.001475563,0.001346859,0.002187073,0.001630934,0.001707297,0.003966891],"category_scores_gemma":[0.01440934,0.0005289059,0.001308027,0.0004214069,0.00253083,0.002093262,0.002898673,0.001329519,0.0006205974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054518,"about_ca_system_score_gemma":0.0007584973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00195799,"about_ca_topic_score_gemma":0.001214233,"domain_scores_codex":[0.9992513,0.0002698899,0.00003263388,0.0001899175,0.0001116266,0.0001445835],"domain_scores_gemma":[0.9923635,0.004144459,0.001307614,0.0003350795,0.0009675543,0.0008818324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004193972,0.0002597816,0.02105157,0.0002571222,0.0004203548,0.001768704,0.001957565,0.292365,0.01797491,0.6398687,0.004735373,0.01892143],"study_design_scores_gemma":[0.00007442357,0.0001438994,0.002461456,0.00005974117,0.000052924,0.0002914025,0.000499069,0.8490399,0.001217177,0.1446222,0.001469886,0.00006784122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6438331,0.0008202485,0.3313227,0.001836618,0.00009232355,0.0002024891,0.0002651042,0.0002704572,0.02135704],"genre_scores_gemma":[0.9755366,0.0002636517,0.01825172,0.0002225401,0.00005887287,0.0002527563,0.0001274883,0.00005017619,0.005236204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003966891,"threshold_uncertainty_score":0.01327062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731828941187183,"score_gpt":0.2658460504332452,"score_spread":0.2385277610213733,"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."}}