{"id":"W4402618159","doi":"10.48550/arxiv.2407.17695","title":"Enhancing Agent Learning through World Dynamics Modeling","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Dynamics (music); Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001492122,0.0003414531,0.0003512912,0.0001429881,0.0002694805,0.0001741573,0.0004224073,0.0001463133,0.0001540068],"category_scores_gemma":[0.000004571694,0.0004227339,0.0003683485,0.0004076467,0.00006113085,0.0001228607,0.001322922,0.001524559,0.0001645129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003279065,"about_ca_system_score_gemma":0.0001939649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002128646,"about_ca_topic_score_gemma":0.0003150813,"domain_scores_codex":[0.9984033,0.00006956353,0.0002586949,0.0008078517,0.00008128289,0.0003793185],"domain_scores_gemma":[0.9991907,0.000045469,0.0001659047,0.0003866939,0.000107635,0.0001036377],"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":[0.000003929828,0.00002034798,0.00146246,0.00005163139,0.0001055575,0.00001694131,0.0003320018,0.6022296,0.000004927724,0.3955757,0.0000132456,0.0001836043],"study_design_scores_gemma":[0.00009070514,0.00000704208,0.000009031772,0.000215817,0.00008489527,9.509404e-8,0.0009971164,0.7454452,0.000008482159,0.252603,0.0002074859,0.0003311907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5694587,0.00007950851,0.3907266,0.0000720718,0.001084772,0.0002061446,0.00006598826,0.0001714537,0.03813472],"genre_scores_gemma":[0.9874184,0.00004908222,0.0002854832,0.00002724902,0.0003444897,0.000001638786,0.0001377497,0.00004989968,0.01168604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4179596,"threshold_uncertainty_score":0.9998224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0556557571359399,"score_gpt":0.2180970907680088,"score_spread":0.1624413336320689,"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."}}