{"id":"W2602990746","doi":"10.1613/jair.5287","title":"Managing Different Sources of Uncertainty in a BDI Framework in a Principled Way with Tractable Fragments","year":2017,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast","keywords":"Computer science; Commensurability (mathematics); Implementation; Artificial intelligence; Semantics (computer science); Belief revision; Set (abstract data type); Theoretical computer science; Machine learning; Software engineering; Programming language; Mathematics","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":[0.00542762,0.001713274,0.001354542,0.001563303,0.001929353,0.005855146,0.003099666,0.001783452,0.003763633],"category_scores_gemma":[0.01344177,0.00145933,0.00395833,0.00144998,0.004724798,0.007715886,0.005756476,0.005701591,0.0008086868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002966517,"about_ca_system_score_gemma":0.003932511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007547534,"about_ca_topic_score_gemma":0.008742879,"domain_scores_codex":[0.995405,0.001158235,0.0003667406,0.0006972977,0.001981587,0.0003911488],"domain_scores_gemma":[0.9939457,0.003647521,0.0004413078,0.001164601,0.0006341967,0.0001667238],"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":[0.0002151679,0.00007991382,0.0009468878,0.0003954736,0.000157562,0.0004375689,0.00112672,0.2860612,0.00422379,0.633262,0.002665441,0.07042829],"study_design_scores_gemma":[0.00008195284,0.00005738055,0.0001062663,0.00009291514,0.0001349104,0.0001477935,0.0001264063,0.4803254,0.00364746,0.5046187,0.01061593,0.00004487229],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005117936,0.0002295383,0.9903527,0.0004100685,0.00002953258,0.0001501004,0.0001345834,0.000620221,0.00295528],"genre_scores_gemma":[0.2338061,0.0006780837,0.7600631,0.0004129231,0.0001006112,0.000624028,0.0006195013,0.0003821862,0.003313509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007547534,"threshold_uncertainty_score":0.02870429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1210226174125115,"score_gpt":0.3976935111396156,"score_spread":0.2766708937271041,"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."}}