{"id":"W126088545","doi":"","title":"Iterated belief change: a transition system approach","year":2005,"lang":"en","type":"article","venue":"International Joint Conference on Artificial Intelligence","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Belief revision; Iterated function; Interpretation (philosophy); Computer science; Transition (genetics); Set (abstract data type); Operator (biology); Transition system; Artificial intelligence; Theoretical computer science; Mathematics; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004186502,0.0002868521,0.000258701,0.0003086086,0.0001748441,0.0005720417,0.001184152,0.0001321867,0.0001843928],"category_scores_gemma":[0.00006593342,0.0002607715,0.0001423255,0.0003676132,0.00009492396,0.0008323531,0.0001318336,0.0002976306,0.001578488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000247274,"about_ca_system_score_gemma":0.00009760571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006959348,"about_ca_topic_score_gemma":0.00004105181,"domain_scores_codex":[0.9975742,0.0001154047,0.0005995079,0.0007168883,0.0006091108,0.0003849273],"domain_scores_gemma":[0.998565,0.00005593513,0.0001842123,0.0004404765,0.000590744,0.0001636632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002575386,0.0002719972,0.000006366297,0.00001242889,0.00002244134,0.00001444473,0.002962433,0.0004549734,0.001138027,0.8207507,0.00009484949,0.1742456],"study_design_scores_gemma":[0.00007473996,0.0001586069,0.0001497391,0.0001728172,0.000007640177,0.00007117652,0.0004869203,0.9656603,0.0214293,0.009531489,0.001859002,0.000398212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004082895,0.0000450691,0.9188846,0.004769594,0.001288642,0.0003671288,0.00001496517,0.000452528,0.07009455],"genre_scores_gemma":[0.9870409,0.00002966138,0.01086278,0.0007687085,0.0008560142,0.0001236374,0.00003082463,0.00001416027,0.0002733569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.982958,"threshold_uncertainty_score":0.9999844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1373754609918432,"score_gpt":0.3023690247565112,"score_spread":0.1649935637646681,"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."}}