{"id":"W2060606492","doi":"10.3390/robotics3040371","title":"The Role of Visibility in Pursuit/Evasion Games","year":2014,"lang":"en","type":"article","venue":"Robotics","topic":"Guidance and Control Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pursuit-evasion; Pursuer; Computer science; Visibility; Discretization; Artificial intelligence; Computation; Robotics; Theoretical computer science; Graph; Adversarial system; Mathematical optimization; Robot; Mathematics; Algorithm","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":[0.0002738208,0.00004939442,0.0001024604,0.00001403888,0.00001578995,0.00001166422,0.0001189332,0.00003432081,0.000001373399],"category_scores_gemma":[0.00004569285,0.00003548478,0.00002672666,0.00005871739,0.00001365024,0.0000262355,0.00001274159,0.00005618231,0.00001295846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001824503,"about_ca_system_score_gemma":0.000004143134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002073844,"about_ca_topic_score_gemma":0.0001017047,"domain_scores_codex":[0.9995481,0.00002449284,0.0001651203,0.000053565,0.00009240302,0.0001163242],"domain_scores_gemma":[0.9996579,0.00007785552,0.00001838686,0.0002125193,0.00001654864,0.00001678064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008830645,0.00002828371,0.05156028,0.00007057337,0.00001810345,4.017981e-7,0.0002847153,0.8079189,0.02404392,0.01051462,0.0001833338,0.1053681],"study_design_scores_gemma":[0.0003085732,0.00003877154,0.06359366,0.00006022107,0.000008353145,8.883721e-7,0.0002102875,0.913929,0.006035139,0.006160594,0.009531243,0.0001232782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592899,0.005068955,0.01437445,0.0002332187,0.0008863024,0.00038127,0.000002425646,0.0001761902,0.01958731],"genre_scores_gemma":[0.9997415,0.00002927591,0.0001273437,0.000005362524,0.0000480718,0.000003722334,3.884098e-7,0.000007355356,0.00003697601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1060101,"threshold_uncertainty_score":0.1447027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003490732089737806,"score_gpt":0.1826950987982814,"score_spread":0.1792043667085436,"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."}}