{"id":"W2159064850","doi":"10.1109/iros.2003.1248809","title":"Self-organizing behavior of a multi-robot system by a neural network approach","year":2004,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Robot; Mobile robot; Motion planning; Computer science; Task (project management); Artificial neural network; Set (abstract data type); Artificial intelligence; Path (computing); Robot control; Mobile robot navigation; Robot kinematics; 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":[0.0002384421,0.000377069,0.0003081876,0.0003260274,0.0002455246,0.0004484135,0.000545221,0.000565246,0.000762481],"category_scores_gemma":[0.0004522721,0.0002217064,0.000362745,0.0002488891,0.0005085383,0.0008887174,0.0003287554,0.0004748312,0.0001489643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005080614,"about_ca_system_score_gemma":0.0003002197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002260067,"about_ca_topic_score_gemma":0.001892976,"domain_scores_codex":[0.9998891,0.00003386472,0.00000518137,0.00002526949,0.00003457548,0.00001203334],"domain_scores_gemma":[0.9998771,0.00005276332,0.00002165989,0.000008965996,0.0000311415,0.000008409065],"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":[0.00001811056,0.0000195083,0.0003650782,0.00004784639,0.00003799014,0.00006799162,0.00005575637,0.9577647,0.004265828,0.01732986,0.0003169985,0.01971044],"study_design_scores_gemma":[0.000001200427,0.000005055877,0.00004261459,0.00000149505,0.000002069426,0.000006786746,0.000003391437,0.9971208,0.000173258,0.002463902,0.000177284,0.000002130138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02061023,0.0005327262,0.9746128,0.0001815604,0.00003834288,0.00002224069,0.00001458778,0.0001602751,0.003827164],"genre_scores_gemma":[0.856111,0.0008964947,0.137701,0.00009796562,0.00008545561,0.0001456318,0.00004845849,0.000043088,0.004870921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002260067,"threshold_uncertainty_score":0.004493892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742983389692413,"score_gpt":0.2097601738403012,"score_spread":0.192330339943377,"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."}}