{"id":"W2949694388","doi":"10.48550/arxiv.1112.6220","title":"Optimal decentralized control of coupled subsystems with control sharing","year":2011,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Age of Information Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Statistic; Linear-quadratic-Gaussian control; Control (management); Sufficient statistic; Optimal control; Dynamic programming; Decomposition; Decentralised system; Mathematical optimization; Gaussian; Distributed computing; Control theory (sociology); Mathematics; Algorithm; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003331208,0.0003148975,0.0005527018,0.0002773611,0.00009556652,0.0001088241,0.001843781,0.0002413246,0.00005550443],"category_scores_gemma":[0.00002765822,0.0003181176,0.0001581291,0.0003889175,0.0001106051,0.0008803689,0.0004673585,0.000302006,0.00003037506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001587634,"about_ca_system_score_gemma":0.0002218347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001791759,"about_ca_topic_score_gemma":0.00001421644,"domain_scores_codex":[0.9983582,0.00008552292,0.0004153688,0.0006435576,0.0001574536,0.000339907],"domain_scores_gemma":[0.997218,0.00007593685,0.0009032176,0.001107208,0.0005330246,0.0001626159],"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":[0.0002193084,0.00004737638,0.00373809,0.00008827294,0.0001900554,0.00005039746,0.0003878592,0.9104179,0.00001624271,0.08480543,0.0000159022,0.0000232352],"study_design_scores_gemma":[0.003743646,0.00008253512,0.0005519948,0.0001474133,0.0001062251,0.000007178842,0.00005575733,0.9942985,0.000108361,0.0005386102,0.00002124546,0.0003385295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09113748,0.00003542051,0.9062656,0.00002189611,0.0002211315,0.0006623533,0.00001389737,0.000203782,0.001438486],"genre_scores_gemma":[0.9915919,0.00004497684,0.008034687,0.00005054327,0.0000189259,0.000002683315,0.00001635403,0.00001753516,0.0002224073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9004544,"threshold_uncertainty_score":0.9999271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03737537822599072,"score_gpt":0.1623554288806979,"score_spread":0.1249800506547072,"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."}}