{"id":"W4410884354","doi":"10.1007/s10957-025-02719-z","title":"A Consensus-based Algorithm for Non-convex Multiplayer Games","year":2025,"lang":"en","type":"article","venue":"Journal of Optimization Theory and Applications","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"H2020 Marie Skłodowska-Curie Actions; Natural Sciences and Engineering Research Council of Canada; Karl-Franzens-Universität Graz","keywords":"Theory of computation; Mathematics; Regular polygon; Algorithm; Mathematical optimization; Geometry","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":[],"consensus_categories":[],"category_scores_codex":[0.0007679334,0.0000946919,0.0001918929,0.0001688077,0.0001642188,0.0001200521,0.000324556,0.00005620379,0.000005028163],"category_scores_gemma":[0.00008736457,0.00008342004,0.00008321883,0.0002870806,0.00005154012,0.0001405489,0.00002646824,0.0000743843,0.000001468615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000262567,"about_ca_system_score_gemma":0.0001408666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.391325e-7,"about_ca_topic_score_gemma":8.932052e-8,"domain_scores_codex":[0.999137,0.00008872229,0.0004086388,0.0001541933,0.00009856666,0.0001129157],"domain_scores_gemma":[0.9982151,0.0007019194,0.0003466704,0.0002224996,0.0004471483,0.00006670604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001067819,0.0003667471,0.0001105579,0.00007616407,0.0002243049,0.000002797736,0.0001739763,0.2283075,0.0006593084,0.3614318,0.00224788,0.4062922],"study_design_scores_gemma":[0.001602725,0.00003687026,0.00005356191,0.00004207479,0.00004129536,0.00001090921,0.00007005426,0.9829765,0.0007850402,0.005582546,0.008712728,0.00008571134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004192941,0.000264981,0.9976777,0.001046371,0.0001285475,0.0005390335,0.00002216257,0.00002664407,0.0002526518],"genre_scores_gemma":[0.1466483,0.00003688235,0.8515101,0.0008236355,0.0001291673,0.0002774804,0.00001493819,0.00001071453,0.0005488433],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.754669,"threshold_uncertainty_score":0.3401771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007126461853934904,"score_gpt":0.2619090163856037,"score_spread":0.2547825545316688,"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."}}