{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00171913,0.0003716854,0.000342037,0.0001470041,0.000271029,0.0003444656,0.0005033411,0.0003587054,0.0001313789],"category_scores_gemma":[0.0004310755,0.0003990441,0.0002051117,0.0004302789,0.0001743326,0.000596553,0.0001295658,0.0007891878,0.000191982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002623134,"about_ca_system_score_gemma":0.0004818799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002413524,"about_ca_topic_score_gemma":0.0004861502,"domain_scores_codex":[0.9966626,0.001058467,0.0006522496,0.0006938641,0.0002547015,0.0006781271],"domain_scores_gemma":[0.9977611,0.0007489613,0.0004878686,0.0004436972,0.0003160741,0.0002422502],"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":[0.00005845967,0.00111698,0.009785939,0.0004011612,0.000136349,0.00005582201,0.06195386,0.5171366,0.1738996,0.02032083,0.0006878301,0.2144466],"study_design_scores_gemma":[0.0001191282,0.0001135531,0.02069933,0.0004566852,0.0000385741,0.00003960393,0.0008583824,0.9112906,0.0564782,0.004429018,0.005101115,0.0003757793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3588904,0.0001565971,0.6369491,0.001958398,0.0004904762,0.0004260302,0.00002468257,0.0001410509,0.0009632395],"genre_scores_gemma":[0.9862063,0.0001836144,0.01042715,0.0007080638,0.0003902098,0.00005310821,0.00007136221,0.0000354293,0.001924769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6273159,"threshold_uncertainty_score":0.9998462,"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."}}