{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001522896,0.0009644552,0.0007828347,0.0005976785,0.0004257087,0.001100103,0.001346403,0.001150543,0.002320389],"category_scores_gemma":[0.009655332,0.0004764112,0.0005809942,0.0003206955,0.0007629432,0.002641362,0.002214134,0.001772141,0.0005110548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008227544,"about_ca_system_score_gemma":0.0009935545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004997353,"about_ca_topic_score_gemma":0.006916322,"domain_scores_codex":[0.9993338,0.0002942043,0.00002503947,0.0001577826,0.0001280654,0.00006108978],"domain_scores_gemma":[0.995089,0.003921373,0.0002862574,0.0003335466,0.0002040388,0.0001658034],"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":[0.0001526051,0.000260227,0.004383042,0.0001250461,0.00007232655,0.0001089397,0.0002725621,0.8813024,0.002776435,0.01423283,0.002456053,0.09385759],"study_design_scores_gemma":[0.000008014213,0.00001380524,0.00006898231,0.000003114151,0.000003107328,0.000005241338,0.000008741317,0.995957,0.0002562207,0.003438021,0.0002355783,0.000002110102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1770887,0.0005467537,0.8110487,0.001369164,0.0000804628,0.0001380192,0.0002240806,0.002867968,0.006636147],"genre_scores_gemma":[0.8763575,0.0001967722,0.1204785,0.0002632109,0.00003863652,0.0001434796,0.0002913626,0.0001526324,0.002077889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004997353,"threshold_uncertainty_score":0.009936512,"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."}}