{"id":"W2116485803","doi":"10.1115/1.4027892","title":"Distributed Algorithms for Stochastic Source Seeking With Mobile Robot Networks","year":2014,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"Office of Naval Research; Defense Advanced Research Projects Agency; Semiconductor Research Corporation","keywords":"SIGNAL (programming language); Wireless sensor network; Mobile robot; Computer science; Robot; Field (mathematics); Wireless; Distributed algorithm; Real-time computing; Distributed computing; Algorithm; Artificial intelligence; Telecommunications; Mathematics; Computer network","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003573552,0.0003369217,0.0008754315,0.000161322,0.0002175376,0.0004814986,0.0006955243,0.0001164301,5.061702e-7],"category_scores_gemma":[0.000165189,0.0002478677,0.0001859507,0.0002155521,0.00004392379,0.0003935265,0.00003888277,0.0002310943,0.000001228912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002893834,"about_ca_system_score_gemma":0.0001153281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002309425,"about_ca_topic_score_gemma":0.00001352972,"domain_scores_codex":[0.9966726,0.0003238356,0.001009231,0.0003708557,0.001082422,0.0005410517],"domain_scores_gemma":[0.9964951,0.0003222013,0.001281794,0.000414267,0.001208619,0.0002780766],"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":[0.0003853669,0.0002035824,0.0007845807,0.0001902953,0.001164078,0.00001512144,0.0002261773,0.9461204,0.003372001,0.0007121306,0.0002283744,0.04659784],"study_design_scores_gemma":[0.00774404,0.0009461887,0.000593045,0.0005246081,0.0002059578,0.0002317309,0.0001555599,0.9881431,0.000003318449,0.000025132,0.001138218,0.0002890922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001280652,0.002751524,0.9931509,0.0001998963,0.001252052,0.001271744,0.00001666668,0.00006663812,0.000009936462],"genre_scores_gemma":[0.9978669,0.000004890537,0.001439759,0.00004737089,0.0004201381,0.0001550498,0.000004948284,0.00002781462,0.00003309955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9965863,"threshold_uncertainty_score":0.9999974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208743079148433,"score_gpt":0.2136572677187839,"score_spread":0.2015698369272996,"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."}}