{"id":"W2111730029","doi":"10.5555/510378.510634","title":"A simulation test-bed to evaluate multi-agent control of manufacturing systems","year":2000,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Architecture; Discrete event simulation; Computer science; Multi-agent system; Distributed computing; Event (particle physics); Variety (cybernetics); Control (management); Control system; Computer-integrated manufacturing; Manufacturing execution system; Software; Systems engineering; Engineering; Simulation; Artificial intelligence; Operating system","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":[0.001487648,0.001235413,0.0007007405,0.0007610509,0.0004995738,0.0006426635,0.001597039,0.0008818713,0.00261518],"category_scores_gemma":[0.002694008,0.0003518655,0.0004762734,0.0005113254,0.0006178295,0.0005114528,0.0006007997,0.0007455091,0.0003636946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129867,"about_ca_system_score_gemma":0.001075393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00691297,"about_ca_topic_score_gemma":0.004402696,"domain_scores_codex":[0.998911,0.0005897338,0.00006082646,0.00008105991,0.0002351576,0.0001221642],"domain_scores_gemma":[0.9963788,0.002171776,0.0002013758,0.0004339909,0.0005361101,0.0002778601],"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":[0.0005302243,0.0009606964,0.002863897,0.0001399263,0.0000956654,0.0002355433,0.00009237803,0.970619,0.006766042,0.003219694,0.001029643,0.01344735],"study_design_scores_gemma":[0.0001371635,0.0007093973,0.0007871176,0.000008266605,0.00001577669,0.00002413172,0.00004366216,0.9883492,0.008276557,0.0005934093,0.001042847,0.00001248443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8312023,0.0003225825,0.1508199,0.0003207263,0.0002009551,0.001105512,0.001126104,0.002497544,0.01240446],"genre_scores_gemma":[0.9582031,0.0001258924,0.03874883,0.00004897701,0.0000107635,0.0005087691,0.0007185076,0.000061766,0.001573318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00691297,"threshold_uncertainty_score":0.01374549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03239271288255439,"score_gpt":0.2799032947407328,"score_spread":0.2475105818581784,"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."}}