{"id":"W2155067110","doi":"10.1109/icma.2005.1626689","title":"Evolutionary swarm intelligence applied to robotics","year":2006,"lang":"en","type":"article","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Evolutionary robotics; Artificial intelligence; Swarm robotics; Robot; Personality; Reinforcement learning; Process (computing); Computer science; Set (abstract data type); Swarm intelligence; Behavior-based robotics; Evolutionary computation; Computational intelligence; Robotics; Machine learning; Psychology; Particle swarm optimization; Social psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007112475,0.00009264921,0.00007466091,0.00007280612,0.0001666763,0.00005088421,0.0006425051,0.00003386836,0.00002434997],"category_scores_gemma":[0.000003640369,0.00008819117,0.0000320766,0.0006114952,0.00002810543,0.0001462405,0.0002254812,0.00006281579,0.0009041974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005214286,"about_ca_system_score_gemma":0.00004532607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005890875,"about_ca_topic_score_gemma":0.000008303577,"domain_scores_codex":[0.9990824,0.00000711056,0.0001855682,0.0003172647,0.0001918772,0.0002157575],"domain_scores_gemma":[0.9993415,0.00004342118,0.00002659336,0.0004387222,0.00006655251,0.00008318088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[4.561987e-7,0.00007448273,0.00004643419,9.994665e-7,0.000001400379,7.22229e-7,0.00001391427,0.07094842,0.0001824186,0.9121976,0.0117778,0.004755337],"study_design_scores_gemma":[0.0001146657,0.0000625437,0.02092798,0.000007303185,0.000005256191,0.00003256233,0.00004749782,0.4312587,0.003766262,0.4779373,0.06528276,0.0005571663],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002513673,0.00004234791,0.9547067,0.004276185,0.00009074245,0.0001685545,0.000001920113,0.0002647658,0.04019747],"genre_scores_gemma":[0.3369907,0.000002123522,0.6601759,0.0004477566,0.0001170406,0.00004920192,0.000006397691,0.000004443132,0.002206437],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4342603,"threshold_uncertainty_score":0.9998737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240500124780837,"score_gpt":0.235258342598029,"score_spread":0.2228533413502207,"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."}}