{"id":"W2059774363","doi":"10.3182/20080706-5-kr-1001.00544","title":"Communication and State Realization in Decentralized Supervisory Control of Discrete-Event Systems","year":2008,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Supervisor; Observability; Realization (probability); Supervisory control; Frame (networking); Property (philosophy); Event (particle physics); Supervisory control theory; Distributed computing; Computer science; State (computer science); Control engineering; Decentralised system; Control (management); Sublanguage; Control theory (sociology); Engineering; Mathematics; Artificial intelligence; Telecommunications; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086022,0.0002954975,0.0007752503,0.0002496825,0.0006684057,0.00124099,0.0007230599,0.0007341645,0.001304856],"category_scores_gemma":[0.003481581,0.0003635033,0.0004599747,0.0004070068,0.001243861,0.001628561,0.0008525241,0.001302236,0.0001605843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007426335,"about_ca_system_score_gemma":0.001282812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002921709,"about_ca_topic_score_gemma":0.003067684,"domain_scores_codex":[0.999227,0.0002722197,0.00005203267,0.000134181,0.0002232467,0.00009126725],"domain_scores_gemma":[0.9979959,0.001435816,0.0001638053,0.0001928775,0.0001508463,0.00006076853],"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":[0.0003248299,0.00008358662,0.0004739851,0.00008942939,0.00003413796,0.0001932889,0.0002650939,0.5781678,0.005096494,0.3824802,0.0008654883,0.03192566],"study_design_scores_gemma":[0.00002694092,0.00004024788,0.000219117,0.000006085156,0.00001076142,0.00002137479,0.00002240884,0.8779837,0.001545174,0.1195074,0.0006055071,0.00001138297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06165994,0.0002297795,0.9315159,0.0003930407,0.00007354994,0.00002451918,0.00004066216,0.0002449536,0.005817744],"genre_scores_gemma":[0.9675547,0.0001758615,0.02944457,0.00003749801,0.00006152427,0.00008750268,0.0000637601,0.00003085758,0.002543893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002921709,"threshold_uncertainty_score":0.005809367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234240956110454,"score_gpt":0.2429357326894833,"score_spread":0.2195116370784379,"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."}}