{"id":"W1489195091","doi":"10.1109/fuzzy.1996.551751","title":"Fuzzy selection and blending of behaviors for situated autonomous agent","year":2002,"lang":"en","type":"article","venue":"Proceedings of IEEE 5th International Fuzzy Systems","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Situated; Architecture; Computer science; Mobile robot; Fuzzy logic; Field (mathematics); Agent architecture; Selection (genetic algorithm); Control (management); Introspection; Artificial intelligence; Robot; Intelligent agent; Action selection; Human–computer interaction; Autonomous agent; Perception","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":[0.0004603341,0.0001832816,0.0003623886,0.0002943525,0.00008439196,0.0001456847,0.0006084993,0.0001041827,0.00000176518],"category_scores_gemma":[0.00006580949,0.0001715525,0.0001054947,0.0002513339,0.00003351088,0.000554445,0.00006951582,0.00008644793,0.000004825413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120517,"about_ca_system_score_gemma":0.00002324241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001477831,"about_ca_topic_score_gemma":0.000002337936,"domain_scores_codex":[0.9981833,0.000009961139,0.0006885186,0.0004033493,0.0004703362,0.0002445559],"domain_scores_gemma":[0.9983208,0.000063837,0.0006181907,0.00008472513,0.000823764,0.00008869629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001123302,0.0005318393,0.03017177,0.001254377,0.0005234912,0.000003569137,0.00307919,0.0008664359,0.2316025,0.7130877,0.008340211,0.01042653],"study_design_scores_gemma":[0.008794821,0.003097076,0.009442928,0.002034944,0.000291021,0.0007920354,0.002735676,0.883723,0.06132798,0.01763438,0.008008646,0.002117488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925207,0.0009206543,0.009835034,0.0006690669,0.004938981,0.001832265,0.00005505956,0.0003127145,0.0562292],"genre_scores_gemma":[0.997068,0.0000309235,0.00172223,0.00001625007,0.0002431633,0.0001429739,0.00000218143,0.00001387432,0.0007603548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8828565,"threshold_uncertainty_score":0.6995709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02758374952098157,"score_gpt":0.2511400145942125,"score_spread":0.223556265073231,"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."}}