{"id":"W2165274745","doi":"10.1109/aamas.2004.188","title":"Multiagent Planning as Control Synthesis","year":2004,"lang":"en","type":"article","venue":"Adaptive Agents and Multi-Agents Systems","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Distributed computing; Multi-agent system; Event (particle physics); Control (management); Relation (database); Constraint (computer-aided design); Simple (philosophy); Software; Supervisory control; Artificial intelligence; Engineering; Data mining; Programming language","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":[0.0009527131,0.0007809537,0.0004782371,0.0005889413,0.0004401785,0.001488925,0.001056439,0.0009028083,0.003761541],"category_scores_gemma":[0.00123019,0.0003448018,0.0006482849,0.000451961,0.001902687,0.00165464,0.001229138,0.001237899,0.0006624818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310346,"about_ca_system_score_gemma":0.001356851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002096495,"about_ca_topic_score_gemma":0.002265585,"domain_scores_codex":[0.9992959,0.0002267922,0.00004693021,0.0001455759,0.0002408857,0.00004387563],"domain_scores_gemma":[0.9994398,0.0003068648,0.00005614834,0.00008501975,0.00007721575,0.00003502152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001863637,0.00001968066,0.00007420318,0.0001543246,0.00002008135,0.00009809824,0.0001433907,0.1230336,0.001890598,0.8282269,0.0011085,0.04521207],"study_design_scores_gemma":[0.00004410941,0.00006272214,0.00008163488,0.0001102007,0.00003281859,0.00008189579,0.00006494016,0.3165933,0.002959336,0.6037605,0.07617909,0.00002939733],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001066666,0.001141567,0.9810452,0.0004332183,0.0001426809,0.00004835585,0.00001984087,0.0001818,0.01592065],"genre_scores_gemma":[0.2512694,0.005185116,0.7209209,0.0005362873,0.0003891768,0.0005650084,0.0001487129,0.0001635048,0.02082188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003761541,"threshold_uncertainty_score":0.01258355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07099639763208417,"score_gpt":0.2985471640996341,"score_spread":0.22755076646755,"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."}}