{"id":"W4387172145","doi":"10.3233/faia230401","title":"On Explaining Agent Behaviour via Root Cause Analysis: A Formal Account Grounded in Theory of Mind","year":2023,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Root (linguistics); Action (physics); Causal model; Causal structure; Causal reasoning; Cognitive science; Theory of mind; Computer science; Causal theory of reference; Root cause; Epistemology; Psychology; Cognitive psychology; Cognition; Linguistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.0006535559,0.0002730823,0.0004925338,0.001019825,0.000129288,0.00009104481,0.000676587,0.0002443176,0.00002334122],"category_scores_gemma":[0.00002459004,0.0002712613,0.0001637768,0.0006232431,0.0002032918,0.0002010668,0.0002063477,0.0003621405,0.00005695863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001162174,"about_ca_system_score_gemma":0.00007436657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006057677,"about_ca_topic_score_gemma":0.001172968,"domain_scores_codex":[0.9980255,0.00003740702,0.0007123774,0.0006426251,0.0002530752,0.0003289539],"domain_scores_gemma":[0.998801,0.0001547092,0.0002923036,0.0005900664,0.00007735952,0.00008458766],"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":[0.00001782763,0.00008675474,0.0004838368,0.00001146093,0.00008923185,0.0000104596,0.001580429,0.0004278106,0.000003432599,0.8124866,0.00005287215,0.1847493],"study_design_scores_gemma":[0.00004535835,0.00008917273,0.0008731676,0.0001099304,0.000180108,0.000001967106,0.0006821946,0.02437509,0.0003091036,0.9722288,0.0006975312,0.0004075644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001101644,0.0003444787,0.9797554,0.00004151265,0.0002659709,0.0005382865,0.00001847028,0.00003966197,0.01789456],"genre_scores_gemma":[0.9822901,0.0003789944,0.005866084,0.00005078062,0.0001143956,0.0004433633,0.0000778403,0.00004059507,0.01073782],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9811885,"threshold_uncertainty_score":0.999974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0533109625043927,"score_gpt":0.291841695728201,"score_spread":0.2385307332238083,"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."}}