{"id":"W2030175310","doi":"10.3166/ria.24.673-694","title":"Une architecture cognitive pour la simulation de comportements d'agents autonomes. Intégration de facteurs physiques, physiologiques et de personnalité","year":2010,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Humanities; Psychology; Computer science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023103,0.0007056574,0.0006744727,0.0004995348,0.001559378,0.002482101,0.001596565,0.002161689,0.004352578],"category_scores_gemma":[0.00381726,0.0005571749,0.001210413,0.000405429,0.001660086,0.001396123,0.002136837,0.001561971,0.0005876989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763656,"about_ca_system_score_gemma":0.002687978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0317733,"about_ca_topic_score_gemma":0.01540657,"domain_scores_codex":[0.9995962,0.0001272143,0.00001927929,0.00007316229,0.0001367913,0.00004736667],"domain_scores_gemma":[0.9989609,0.000592856,0.00005313197,0.0000706898,0.0002239016,0.00009854843],"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":[0.0001105891,0.00006878584,0.000702367,0.0000744675,0.00005177685,0.0001675421,0.0004774921,0.8984381,0.003932821,0.07221769,0.00095503,0.02280341],"study_design_scores_gemma":[0.00001429368,0.00001622296,0.00009829015,0.000008018043,0.000009242909,0.00001921835,0.00002624646,0.9849735,0.0006050334,0.0122623,0.001959163,0.00000842038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04645948,0.000282551,0.9403511,0.0007137652,0.0001227926,0.00007564137,0.00006736947,0.001132426,0.01079477],"genre_scores_gemma":[0.6934161,0.0004641891,0.2962643,0.0001746021,0.00007682987,0.0003636824,0.0001302235,0.0001700626,0.008940041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0317733,"threshold_uncertainty_score":0.06317669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06288601821641251,"score_gpt":0.3446497341414883,"score_spread":0.2817637159250758,"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."}}