{"id":"W2981793643","doi":"10.3390/app9214483","title":"ARPS: A Framework for Development, Simulation, Evaluation, and Deployment of Multi-Agent Systems","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Software deployment; Computer science; Distributed computing; Scenario testing; Systems engineering; Risk analysis (engineering); Software engineering; Variety (cybernetics); Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009485736,0.002495982,0.001804419,0.002181173,0.001190778,0.004402606,0.006922789,0.003198876,0.01209534],"category_scores_gemma":[0.01162864,0.002496616,0.003929852,0.001138516,0.002235462,0.003883336,0.004788845,0.005360094,0.005315572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001913594,"about_ca_system_score_gemma":0.004613453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01144294,"about_ca_topic_score_gemma":0.01103316,"domain_scores_codex":[0.9958736,0.00164596,0.000555859,0.0004400097,0.001176439,0.0003080528],"domain_scores_gemma":[0.9946103,0.002887788,0.0004044284,0.00086437,0.0008326466,0.0004004151],"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":[0.0003210446,0.0004453286,0.00245587,0.002145931,0.0006238845,0.0008075009,0.0008946753,0.5927695,0.00768939,0.2203978,0.04561604,0.1258329],"study_design_scores_gemma":[0.0002294841,0.0001306996,0.0004477138,0.0003552273,0.00009960117,0.0002946917,0.00008838071,0.7891662,0.004063177,0.06686071,0.1381283,0.000135811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008715673,0.0002323787,0.9680062,0.0001973847,0.00009868458,0.0004515455,0.0005341987,0.02697601,0.002632086],"genre_scores_gemma":[0.0325091,0.001023039,0.9520262,0.0002379347,0.00009357122,0.001686248,0.0027957,0.0065651,0.003063041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01209534,"threshold_uncertainty_score":0.05016595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09291840789326851,"score_gpt":0.3467847353145672,"score_spread":0.2538663274212987,"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."}}