{"id":"W4408569729","doi":"10.1016/j.jai.2025.03.002","title":"Fault-tolerant control for swarm systems: A geometric-based PDE planning approach","year":2025,"lang":"en","type":"article","venue":"Journal of Automation and Intelligence","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Swarm behaviour; Computer science; Control (management); Fault tolerance; Distributed computing; Control theory (sociology); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001256449,0.0001475095,0.0003897103,0.0006314853,0.0001251231,0.0004068716,0.000591801,0.00008240165,0.000001190879],"category_scores_gemma":[0.0004229838,0.0001198362,0.0001241607,0.000653045,0.00002819087,0.0004856118,0.00002711991,0.000142525,0.000002825875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001014685,"about_ca_system_score_gemma":0.0001787251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009418009,"about_ca_topic_score_gemma":1.577348e-7,"domain_scores_codex":[0.998249,0.0001133914,0.0008713502,0.0002055204,0.0003422173,0.0002185424],"domain_scores_gemma":[0.9979561,0.0005037492,0.0006626458,0.0002177272,0.0005599962,0.00009977006],"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":[0.0002795824,0.0005310839,0.001608652,0.001176486,0.0005128823,0.0000324718,0.001277063,0.7499893,0.001366169,0.1454806,0.006076864,0.09166882],"study_design_scores_gemma":[0.0009320898,0.0001532942,0.0007808891,0.0003086389,0.00003129411,0.00003722942,0.0002104132,0.9932028,0.0008437541,0.0002408872,0.003144836,0.0001138588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002595153,0.001893801,0.9933447,0.0004243074,0.0008362305,0.0004744813,0.000009670107,0.00006522781,0.0003564324],"genre_scores_gemma":[0.9860432,0.0000107666,0.013506,0.000256328,0.00006551064,0.00003068022,0.000002281359,0.000005139405,0.00008014688],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.983448,"threshold_uncertainty_score":0.488678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0242219072127163,"score_gpt":0.2910977049400162,"score_spread":0.2668757977273,"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."}}