{"id":"W102912931","doi":"","title":"Inter-Layer Learning Towards Emergent Cooperative Behavior","year":2000,"lang":"en","type":"article","venue":"","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Testbed; Reinforcement learning; Layer (electronics); Heuristics; Artificial intelligence; Abstraction; Architecture; Process (computing); Simple (philosophy); Abstraction layer; Machine learning; Distributed computing; Online machine learning; Human–computer interaction; Unsupervised learning","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":["insufficient_payload"],"category_scores_codex":[0.0001757197,0.0001571061,0.0001399422,0.00006263395,0.0001660776,0.0001987865,0.0006818373,0.0000529607,0.007626631],"category_scores_gemma":[0.00003018299,0.0001332786,0.00006629685,0.0002745762,0.0000331464,0.0004397286,0.000190354,0.0002756316,0.001629647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005222125,"about_ca_system_score_gemma":0.0000484494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005062856,"about_ca_topic_score_gemma":0.000003264344,"domain_scores_codex":[0.9987248,0.00008086416,0.0002598711,0.0003261424,0.0002936352,0.0003147296],"domain_scores_gemma":[0.9993604,0.00002167256,0.00004483417,0.0003812229,0.0000868412,0.0001050122],"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":[0.000006119041,0.00007256713,0.002678186,0.000004772765,0.00003175169,0.00003348746,0.00191269,0.7554606,0.0006794528,0.01017894,0.003419041,0.2255224],"study_design_scores_gemma":[0.0005029289,0.0005565389,0.003922273,0.00002264158,0.00001855137,0.00002570051,0.0001339476,0.8214805,0.005466623,0.00002560331,0.167307,0.0005376886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01959628,0.00001427017,0.8975459,0.0003322047,0.000228662,0.0001588632,1.422833e-7,0.0003435601,0.08178015],"genre_scores_gemma":[0.8737683,0.00003381073,0.01674152,0.0004264606,0.00005042471,0.00002849099,0.000003525044,0.00001326993,0.1089341],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8808044,"threshold_uncertainty_score":0.9991477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820915700642906,"score_gpt":0.284066985288857,"score_spread":0.2558578282824279,"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."}}