{"id":"W4417133656","doi":"10.1162/isal.a.897","title":"Integrating Neuroplasticity into Genetic Programming Agents for Adaptive Decision Making","year":2025,"lang":"","type":"article","venue":"ALIFE","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Reinforcement learning; Core (optical fiber); Memetics; Path (computing); Genetic programming; Adaptation (eye); Reinforcement; Order (exchange); Ant colony","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":[0.0004817785,0.0003547232,0.0003083722,0.000310279,0.00023661,0.0006737884,0.0008718494,0.0006143294,0.001847503],"category_scores_gemma":[0.00184542,0.0001947537,0.0002893845,0.00022263,0.0008697063,0.0006389018,0.0007209235,0.001002672,0.0002100336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005071938,"about_ca_system_score_gemma":0.0005620471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001157208,"about_ca_topic_score_gemma":0.001499596,"domain_scores_codex":[0.9998747,0.00004263637,0.000006566558,0.00002539852,0.00003569599,0.00001500084],"domain_scores_gemma":[0.9995477,0.0002480779,0.00005794212,0.00005710685,0.00005299442,0.0000362],"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":[0.00004194669,0.00007800659,0.0008434874,0.00007089141,0.00005041929,0.0001077877,0.000105768,0.8740576,0.01574205,0.05187857,0.0005847262,0.05643873],"study_design_scores_gemma":[0.000009165201,0.00003559127,0.0001141325,0.00000877821,0.000008005252,0.0000289722,0.00001202081,0.9726065,0.001734267,0.02417544,0.001260544,0.000006517125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09449772,0.0002996955,0.8961745,0.000468339,0.00007595918,0.00006392178,0.00003388795,0.0006241892,0.007761869],"genre_scores_gemma":[0.7953476,0.0002399475,0.2013868,0.0001682447,0.000019164,0.0001424133,0.00003237117,0.00007860146,0.002584883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001847503,"threshold_uncertainty_score":0.006180525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02546671363974189,"score_gpt":0.3179001603880881,"score_spread":0.2924334467483462,"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."}}