{"id":"W2512497766","doi":"","title":"Deliberation in agent programming languages","year":2005,"lang":"en","type":"article","venue":"","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Deliberation; Computer science; Situation calculus; Rotation formalisms in three dimensions; Artificial intelligence; Action (physics); Cognitive science; Programming language; Software engineering; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000134256,0.00005001435,0.00004997909,0.00004556414,0.00003489668,0.0000974162,0.0002008738,0.00002464645,0.00002995783],"category_scores_gemma":[0.00001310328,0.00003882523,0.00001874991,0.0001460999,0.000006591023,0.0002715525,0.00004487068,0.0000425939,0.0001597041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003179333,"about_ca_system_score_gemma":0.00002173244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003825153,"about_ca_topic_score_gemma":0.0009983949,"domain_scores_codex":[0.9995239,0.00001930736,0.00008995577,0.0001468689,0.00007574626,0.000144262],"domain_scores_gemma":[0.9997736,0.00001551024,0.00001669212,0.0001428031,0.00001911849,0.00003233934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.323382e-7,0.00006507282,0.001313971,0.000002743691,0.000001608181,0.000007634198,0.002255621,0.00006507401,0.0001228994,0.1154896,0.0006574072,0.8800179],"study_design_scores_gemma":[0.001569889,0.0002306914,0.04255549,0.00005229202,0.000006453246,0.00005422705,0.0005389497,0.3031437,0.02056041,0.002424759,0.6280054,0.0008577605],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1180657,0.0007623677,0.6726057,0.001592697,0.0001791745,0.0002573093,1.015577e-7,0.0004697402,0.2060672],"genre_scores_gemma":[0.893985,0.000008524043,0.1026947,0.000222623,0.00008934599,0.000008904584,8.88802e-7,0.00000231844,0.00298772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8791601,"threshold_uncertainty_score":0.2052726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395721647249389,"score_gpt":0.2655017659650315,"score_spread":0.2515445494925376,"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."}}