{"id":"W3174412502","doi":"10.1609/aaai.v35i6.16715","title":"Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous Driving","year":2021,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bounded rationality; Computer science; Context (archaeology); Intersection (aeronautics); Set (abstract data type); Bounded function; Nash equilibrium; Game theory; Mathematical optimization; Artificial intelligence; Mathematical economics; Mathematics; Engineering","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":[0.003366184,0.001137299,0.00090052,0.001435302,0.0007179333,0.001705399,0.001560747,0.001090087,0.002759919],"category_scores_gemma":[0.01288423,0.0004799322,0.001446126,0.0009439844,0.002353313,0.002774518,0.001738931,0.001729783,0.0001788101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002747423,"about_ca_system_score_gemma":0.002468927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02205128,"about_ca_topic_score_gemma":0.01474603,"domain_scores_codex":[0.9984828,0.0007275822,0.0001054632,0.000283191,0.0002223519,0.0001787128],"domain_scores_gemma":[0.9929488,0.005069669,0.0009390918,0.0002396959,0.0004328885,0.0003698742],"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":[0.00002870179,0.00004493582,0.001528522,0.00009504089,0.0000442719,0.00006028034,0.0002793118,0.6322082,0.0003526291,0.3575429,0.0005879158,0.007227418],"study_design_scores_gemma":[0.00001087026,0.0000191797,0.0002160469,0.00001478897,0.0000069463,0.000007247395,0.00006397881,0.8030744,0.00007385774,0.1961235,0.0003801259,0.000009011911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07528231,0.0005058695,0.9179463,0.0009666961,0.00004444666,0.00009981177,0.0002724382,0.0001450077,0.004737123],"genre_scores_gemma":[0.8497136,0.0005663916,0.1461549,0.0002061487,0.00006755667,0.0002783275,0.000375714,0.00005797604,0.002579477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02205128,"threshold_uncertainty_score":0.04384583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056612232632722,"score_gpt":0.2545281096781469,"score_spread":0.2439619873518196,"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."}}