{"id":"W4407951034","doi":"10.1109/cdc56724.2024.10886299","title":"Formation Control of Multi-agent Systems via Voronoi Tessellation and Kullback-Leibler Divergence","year":2024,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Voronoi diagram; Divergence (linguistics); Kullback–Leibler divergence; Centroidal Voronoi tessellation; Computer science; Tessellation (computer graphics); Artificial intelligence; Mathematics; Computer graphics (images); Geometry","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":[0.0005331704,0.0001832188,0.0002697519,0.0001636928,0.00007729164,0.0003230127,0.0003827339,0.00008546738,0.00001595553],"category_scores_gemma":[0.00003040196,0.0001521319,0.00007061218,0.0003548272,0.00003327597,0.001238778,0.0001037207,0.00008156068,0.0001376372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008491315,"about_ca_system_score_gemma":0.00003680188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002363262,"about_ca_topic_score_gemma":0.00001293495,"domain_scores_codex":[0.9982882,0.0001219301,0.0005735281,0.0003900082,0.0003690188,0.0002572852],"domain_scores_gemma":[0.9990076,0.0001511231,0.000156397,0.0004014292,0.0001779019,0.0001055696],"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":[0.00009101102,0.0006873719,0.01843095,0.005447987,0.001104524,0.0001082295,0.006983938,0.07307939,0.2689714,0.4383747,0.01019973,0.1765208],"study_design_scores_gemma":[0.0006730609,0.00004424219,0.0020947,0.0001160257,0.00002462579,0.00002043826,0.00005428574,0.9926497,0.001267927,0.00005994808,0.002826041,0.0001690291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005799527,0.002903673,0.9883316,0.0002275162,0.001318733,0.0006920499,0.00002946331,0.0002941552,0.0004032923],"genre_scores_gemma":[0.9975766,0.00004363274,0.001821277,0.00002729085,0.0000556351,0.00004776887,0.00001165327,0.000009977386,0.0004061745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9917771,"threshold_uncertainty_score":0.6203759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776586915740807,"score_gpt":0.2357875234514575,"score_spread":0.2180216542940494,"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."}}