{"id":"W2041333329","doi":"10.1111/j.1468-0394.2006.00409.x","title":"Distributed fuzzy discrete event system for robotic sensory information processing","year":2006,"lang":"en","type":"article","venue":"Expert Systems","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering; Memorial University of Newfoundland","funders":"","keywords":"Controllability; Observability; Computer science; Fuzzy logic; Supervisory control; Fuzzy control system; Mobile robot; Event (particle physics); Artificial intelligence; Robot; Neuro-fuzzy; Control engineering; Control theory (sociology); Control (management); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004165669,0.0002288388,0.0003282426,0.000138026,0.0003007399,0.0005451901,0.0005412486,0.000109231,2.066101e-7],"category_scores_gemma":[0.00003330817,0.0001978348,0.00009300929,0.0003079102,0.00002347458,0.001245765,0.00007970973,0.00008457312,0.0000532445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003111202,"about_ca_system_score_gemma":0.00007200598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003409549,"about_ca_topic_score_gemma":7.717208e-7,"domain_scores_codex":[0.9980155,0.00009306931,0.0006681982,0.0003175672,0.0004449756,0.0004606408],"domain_scores_gemma":[0.9987787,0.00007768581,0.0003535472,0.0004942445,0.0001997916,0.00009605307],"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":[0.00002295566,0.00008106083,0.0003638171,0.001403682,0.00005517076,0.00004481949,0.003625832,0.9380062,0.001243511,0.02766067,0.02069028,0.006802036],"study_design_scores_gemma":[0.0004327017,0.00004352172,0.000347944,0.0003967399,0.000006029934,0.0001275315,0.000563544,0.994304,0.0003161376,0.00003673141,0.003139758,0.000285371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003154017,0.0007616989,0.9946625,0.0002072628,0.002029733,0.0007622248,0.00002214391,0.0006654413,0.0005735846],"genre_scores_gemma":[0.9552909,6.918115e-7,0.0434397,0.0000330677,0.000506569,0.0002777954,0.0001910551,0.00001708879,0.0002430863],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9549755,"threshold_uncertainty_score":0.8067469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534720850843506,"score_gpt":0.2552454139471618,"score_spread":0.2398982054387267,"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."}}