{"id":"W2034114456","doi":"10.1016/j.automatica.2008.04.016","title":"Optimal consensus algorithms for cooperative team of agents subject to partial information","year":2008,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":187,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Robustness (evolution); Computer science; Adaptability; Multi-agent system; Minification; Fault tolerance; Information exchange; Consensus algorithm; Mathematical optimization; Control (management); Control theory (sociology); Distributed computing; Algorithm; Mathematics; Artificial intelligence; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002816679,0.001168298,0.002071497,0.001083822,0.001019479,0.001460487,0.002203208,0.002307377,0.001938603],"category_scores_gemma":[0.009457842,0.001029669,0.0007361462,0.001029146,0.001662959,0.002408665,0.003018728,0.001377988,0.0002952998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165593,"about_ca_system_score_gemma":0.002296837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006876879,"about_ca_topic_score_gemma":0.004102204,"domain_scores_codex":[0.9989071,0.0003730929,0.00007777314,0.0002414388,0.0002399427,0.0001607284],"domain_scores_gemma":[0.9955161,0.003041796,0.0004309086,0.0002248948,0.0006042925,0.0001819674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001191387,0.00003697059,0.0001570953,0.00005102243,0.00003261875,0.00002595494,0.0001142432,0.9688048,0.0004410762,0.0149482,0.0005403167,0.01472848],"study_design_scores_gemma":[0.00003289037,0.00002286015,0.00003136314,0.000003480878,0.000006202448,0.000004088472,0.00001419162,0.988423,0.0001291029,0.01123803,0.0000905056,0.000004256718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04482824,0.0002508865,0.9511337,0.0003251282,0.0000501084,0.00007175726,0.00004112876,0.0001714784,0.003127607],"genre_scores_gemma":[0.8707582,0.000269144,0.1239923,0.0001496379,0.00006704247,0.0003577621,0.0001797944,0.00008223191,0.004143807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006876879,"threshold_uncertainty_score":0.01489621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03212601730101935,"score_gpt":0.2806417325183135,"score_spread":0.2485157152172942,"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."}}