{"id":"W4401075530","doi":"10.3390/drones8080350","title":"Decentralized UAV Swarm Control: A Multi-Layered Architecture for Integrated Flight Mode Management and Dynamic Target Interception","year":2024,"lang":"en","type":"article","venue":"Drones","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Swarm behaviour; Computer science; Scalability; Robustness (evolution); Distributed computing; Fault tolerance; Scheduling (production processes); Command and control; Situation awareness; Real-time computing; Engineering; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002289051,0.0004160723,0.0002797814,0.0002616781,0.0003278498,0.0005807265,0.0007835885,0.0003158823,0.000818949],"category_scores_gemma":[0.0003267484,0.0001514885,0.000292581,0.0001359124,0.0003357004,0.000436991,0.0006927123,0.0004459902,0.0002054121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003755173,"about_ca_system_score_gemma":0.0006473795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002827575,"about_ca_topic_score_gemma":0.003278334,"domain_scores_codex":[0.9998331,0.0000282997,0.00001051101,0.00003844002,0.00006583695,0.00002386012],"domain_scores_gemma":[0.9998631,0.00001718047,0.00003095081,0.00002405284,0.00004227819,0.00002223863],"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":[0.0002149958,0.0001833114,0.002768711,0.0002233012,0.0001309779,0.0003689986,0.0003061316,0.6006514,0.1695936,0.02825432,0.003252134,0.1940521],"study_design_scores_gemma":[0.00001621627,0.0001183951,0.0005431672,0.000009288467,0.00001581384,0.00005492075,0.0000252826,0.9868274,0.00643952,0.002574809,0.003362234,0.00001300112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04924756,0.0004936674,0.9431545,0.0001676634,0.00009679433,0.00008178706,0.00004298792,0.001013432,0.005701667],"genre_scores_gemma":[0.9119067,0.00030893,0.08412202,0.00005562721,0.00004183159,0.00009621957,0.0001017103,0.00003138693,0.003335607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002827575,"threshold_uncertainty_score":0.005622268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003940029938296,"score_gpt":0.2662834688244599,"score_spread":0.2562440685250769,"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."}}