{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006318619,0.0002112727,0.0002376092,0.0003454154,0.0004763419,0.0005861463,0.0004592584,0.0004272085,0.001002489],"category_scores_gemma":[0.001620132,0.0001626971,0.0003869935,0.0002001722,0.001085596,0.0007066874,0.0006046644,0.0003710482,0.0001507698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005421532,"about_ca_system_score_gemma":0.0004737827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00238111,"about_ca_topic_score_gemma":0.00289351,"domain_scores_codex":[0.9997062,0.00007015447,0.00002077614,0.00005668613,0.0001157069,0.0000304362],"domain_scores_gemma":[0.9996647,0.000124485,0.00004256299,0.00004927177,0.00006455008,0.00005442851],"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":[0.0004932882,0.0001742995,0.004226984,0.0001575138,0.0000949961,0.000892185,0.001915362,0.3364112,0.1011926,0.2886887,0.001058839,0.2646941],"study_design_scores_gemma":[0.00004639024,0.0001426936,0.00109363,0.00001478871,0.00003306996,0.000158221,0.0001280691,0.9093534,0.009230822,0.0761664,0.003606414,0.00002604516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1364237,0.0001440961,0.8552552,0.0001860624,0.00002249199,0.000065182,0.00001375539,0.0003096916,0.007579764],"genre_scores_gemma":[0.8368097,0.0000756876,0.1610348,0.00003527559,0.000009125267,0.00005750907,0.00002118293,0.00002157574,0.001935192],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00238111,"threshold_uncertainty_score":0.004734457,"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."}}