{"id":"W2145357881","doi":"10.1016/j.automatica.2011.09.027","title":"Connectivity preservation for multi-agent rendezvous with link failure","year":2011,"lang":"en","type":"article","venue":"Automatica","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; University of Alberta","keywords":"Rendezvous; Computer science; Protocol (science); Robustness (evolution); Distributed computing; Topology (electrical circuits); Multi-agent system; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004094462,0.0002037149,0.0002729941,0.00007354267,0.0001443277,0.0001346937,0.0008131388,0.00009684463,0.00001752263],"category_scores_gemma":[0.0002162532,0.0001638002,0.00007989528,0.0002572709,0.00003895497,0.0008041261,0.0001186002,0.00009572432,0.00008217015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007106922,"about_ca_system_score_gemma":0.00008680476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008820269,"about_ca_topic_score_gemma":0.0001071262,"domain_scores_codex":[0.9984207,0.0001039528,0.000330328,0.0004648987,0.0002946258,0.0003855547],"domain_scores_gemma":[0.998374,0.0001688656,0.0002271889,0.0008894659,0.0002137775,0.0001266975],"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":[0.0003012069,0.003023636,0.01622323,0.001265367,0.001529042,0.0001730398,0.02651525,0.0004223332,0.00659269,0.7966076,0.01987142,0.1274752],"study_design_scores_gemma":[0.002682138,0.0003844521,0.03314905,0.00008947195,0.00004674442,0.00002286938,0.00007778826,0.9540542,0.00192169,0.00237834,0.004786527,0.0004066979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01055045,0.00002486208,0.9855071,0.0009583089,0.0002264726,0.001179477,0.00002149452,0.0007197925,0.0008120147],"genre_scores_gemma":[0.7078859,4.166585e-7,0.2914441,0.00009558162,0.00004274294,0.0003155925,0.00001154344,0.00001543451,0.0001887319],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9536319,"threshold_uncertainty_score":0.6679578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07094940301142548,"score_gpt":0.2613204244344225,"score_spread":0.190371021422997,"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."}}