{"id":"W2949477910","doi":"10.23919/ecc.2019.8796152","title":"Guaranteed Voronoi-based Deployment for Multi-Agent Systems under Uncertain Measurements","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège de Maisonneuve; Concordia University","funders":"","keywords":"Voronoi diagram; Bounded function; Software deployment; Computer science; Multi-agent system; Position (finance); Mathematical optimization; Rectangle; Model predictive control; Control theory (sociology); Mathematics; Control (management); Artificial intelligence","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":[0.0004998108,0.0004671296,0.0006655517,0.0003700441,0.0004330086,0.0005189647,0.001063564,0.0005322706,0.0005574102],"category_scores_gemma":[0.00238276,0.0003258717,0.0003400359,0.0003783812,0.0007602909,0.0008947022,0.001124022,0.0005720835,0.0001669134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007445191,"about_ca_system_score_gemma":0.0008192312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004671368,"about_ca_topic_score_gemma":0.003335854,"domain_scores_codex":[0.9995456,0.0001481558,0.00001566531,0.00008406106,0.0001578517,0.00004857765],"domain_scores_gemma":[0.9990461,0.0004889808,0.0001534275,0.00008925173,0.0001639417,0.00005818176],"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":[0.00004374115,0.000009405102,0.0002701915,0.00002896318,0.000009420865,0.00005865304,0.00006003795,0.9729142,0.002659852,0.009516403,0.0002295989,0.01419947],"study_design_scores_gemma":[0.000003357012,0.00001538685,0.00004879211,0.000001569677,0.000001024594,0.00001244187,0.000005356565,0.9974118,0.0004953957,0.001730246,0.0002723672,0.000002368634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01256972,0.0001303575,0.9865308,0.00004818593,0.00001430728,0.00001438509,0.00001274562,0.0001264201,0.0005531543],"genre_scores_gemma":[0.8895287,0.0002090014,0.1089536,0.00003619539,0.0000235769,0.00009535906,0.00007640928,0.00004850676,0.001028702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004671368,"threshold_uncertainty_score":0.009288371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1685346337682016,"score_gpt":0.326562921494126,"score_spread":0.1580282877259244,"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."}}