{"id":"W2403960194","doi":"","title":"Ranking Functions for Belief Change - A Uniform Approach to Belief Revision and Belief Progression","year":2014,"lang":"en","type":"article","venue":"International Conference on Agents and Artificial Intelligence","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Belief revision; Computer science; Belief structure; Ranking (information retrieval); Belief system; Belief propagation; Artificial intelligence; Algorithm; Epistemology; Philosophy","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":[0.02600618,0.002264922,0.005001466,0.005037289,0.002316177,0.0068871,0.006354944,0.003992858,0.01018164],"category_scores_gemma":[0.08367155,0.001603026,0.004841493,0.005095274,0.005064031,0.01794891,0.005626787,0.007203995,0.001229997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004198008,"about_ca_system_score_gemma":0.003199179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00445612,"about_ca_topic_score_gemma":0.003182786,"domain_scores_codex":[0.9803842,0.0121315,0.001381186,0.002088855,0.003033938,0.0009803601],"domain_scores_gemma":[0.9451078,0.04165249,0.001713762,0.005377517,0.005025238,0.001123238],"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":[0.0001114096,0.0001002997,0.0003859065,0.0002677847,0.0001299185,0.000068389,0.0003047547,0.07300434,0.0003826613,0.8689322,0.002743687,0.05356869],"study_design_scores_gemma":[0.00002728333,0.00007670173,0.0001788913,0.00005945234,0.00005955607,0.00004778592,0.0000470035,0.3633767,0.000308654,0.6342772,0.001493503,0.0000472804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002445174,0.0004479898,0.9944166,0.0004549864,0.00006823771,0.00007118508,0.00008891612,0.0001261239,0.001880819],"genre_scores_gemma":[0.2838616,0.001983251,0.6980059,0.0005890836,0.0008095105,0.001362867,0.0006179296,0.0004958285,0.01227405],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02600618,"threshold_uncertainty_score":0.1375355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1839759069134567,"score_gpt":0.3661272461310572,"score_spread":0.1821513392176005,"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."}}