{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001703539,0.0009108137,0.000953872,0.0008700246,0.0008726985,0.002464281,0.001711866,0.001551667,0.00249643],"category_scores_gemma":[0.02265481,0.0006245569,0.0007402498,0.0007571205,0.003694616,0.004793847,0.002179598,0.002338133,0.0001624336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002053988,"about_ca_system_score_gemma":0.000838219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004361195,"about_ca_topic_score_gemma":0.002341112,"domain_scores_codex":[0.9984027,0.0007383262,0.00006646749,0.0002256854,0.0002908779,0.0002760892],"domain_scores_gemma":[0.9772633,0.01808701,0.002026579,0.0009122264,0.000570439,0.001140416],"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":[0.0004038806,0.0001310431,0.003594198,0.0001592195,0.00006722927,0.0002698543,0.0003917206,0.5004086,0.003467812,0.4730935,0.001483525,0.01652943],"study_design_scores_gemma":[0.00003477745,0.000105855,0.0007247231,0.00002471887,0.00001817029,0.00008903851,0.00008821191,0.8648562,0.0008140195,0.1325749,0.0006423483,0.00002704506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3854375,0.001106274,0.5967406,0.001347485,0.0000837638,0.0001036999,0.0001335428,0.0001547756,0.01489246],"genre_scores_gemma":[0.9774258,0.0003641413,0.0202131,0.00006225135,0.00004597229,0.00004617797,0.00004702781,0.00005775165,0.001737784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004361195,"threshold_uncertainty_score":0.01490283,"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."}}