{"id":"W12582432","doi":"","title":"Evolution of recurrent neural networks to control Autonomous Life Agents","year":2001,"lang":"en","type":"article","venue":"Genetic and Evolutionary Computation Conference","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; University of Waterloo","funders":"","keywords":"Artificial life; Recurrent neural network; Autonomous agent; Computer science; Artificial intelligence; Task (project management); Artificial neural network; Intelligent agent; Multi-agent system; Control (management); Simple (philosophy); 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":[0.0008094878,0.0004969678,0.0005762044,0.0002722439,0.0002792325,0.0006676535,0.0008664366,0.0007715259,0.001308778],"category_scores_gemma":[0.002111449,0.0002960319,0.0003215772,0.0001425041,0.000540842,0.0005048287,0.0005770598,0.0006447196,0.0001976652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007324486,"about_ca_system_score_gemma":0.0004137503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004894137,"about_ca_topic_score_gemma":0.003986683,"domain_scores_codex":[0.9998065,0.00005413741,0.00001168129,0.00003676139,0.00004390666,0.00004715567],"domain_scores_gemma":[0.9993856,0.0002173656,0.0001091295,0.00003351387,0.0002010159,0.00005340307],"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":[0.00004479053,0.00004879273,0.0005032838,0.00001767247,0.00003656987,0.00006253566,0.00004453501,0.9806225,0.002844214,0.004720915,0.0003897703,0.01066433],"study_design_scores_gemma":[0.000003918117,0.00001738819,0.00003586858,0.000001142877,0.000003447128,0.000003054015,0.000002206532,0.9992273,0.0001673775,0.0004614069,0.00007536652,0.000001548082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.382785,0.0006815105,0.5976901,0.000796433,0.0002406725,0.000100763,0.00005691261,0.0009445819,0.01670402],"genre_scores_gemma":[0.990886,0.00004225324,0.007361676,0.00005094712,0.00001346485,0.00003193996,0.00001807763,0.00001704371,0.001578535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004894137,"threshold_uncertainty_score":0.009731293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028320403609548,"score_gpt":0.2507493733689903,"score_spread":0.2304661693328948,"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."}}