{"id":"W7132887053","doi":"","title":"Distributed (Generalized) Nash Equilibrium Seeking in the Partial-Decision Information Setting","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Nash equilibrium; Epsilon-equilibrium; Best response; Equilibrium selection; Solution concept; Correlated equilibrium; Risk dominance; Graph","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01141988,0.0006392878,0.0007285351,0.0006758583,0.001480145,0.001640511,0.003078911,0.0003915173,0.005546291],"category_scores_gemma":[0.004483854,0.0004981891,0.0004017281,0.004598964,0.0001516058,0.001523765,0.0004724192,0.001425189,0.001024461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002464432,"about_ca_system_score_gemma":0.0004367395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002854248,"about_ca_topic_score_gemma":0.0001314175,"domain_scores_codex":[0.9904888,0.001895006,0.002455228,0.0009279678,0.003353775,0.0008792205],"domain_scores_gemma":[0.9907658,0.004863813,0.001941496,0.001813367,0.000446924,0.0001685957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002312541,0.0008667677,0.002261634,0.0002353545,0.0001314741,0.00004842137,0.4955514,0.08026201,0.009453839,0.07770379,0.0418617,0.289311],"study_design_scores_gemma":[0.00184675,0.0002013568,0.00880541,0.0003185583,0.0001665171,0.00003982913,0.4111831,0.06870027,0.001565073,0.03815765,0.4676769,0.001338613],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611415,0.0003919898,0.01940845,0.004319245,0.001763647,0.002111073,0.0003265174,0.0001085868,0.01042901],"genre_scores_gemma":[0.9912006,0.00007063452,0.000520123,0.0007110625,0.0001946789,0.0006292039,0.00418037,0.00003622822,0.002457081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4258152,"threshold_uncertainty_score":0.9998198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04415021271894497,"score_gpt":0.406472760256515,"score_spread":0.36232254753757,"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."}}