{"id":"W4233260217","doi":"10.4018/978-1-4666-2476-4.ch008","title":"A Computational Simulation of the Cognitive Process of Children Knowledge Acquisition and Memory Development","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Knowledge acquisition; Computer science; Cognition; Knowledge representation and reasoning; Representation (politics); Cognitive science; Process (computing); Procedural knowledge; Mental representation; Memory development; Object (grammar); Cognitive model; Cognitive development; Human–computer interaction; Knowledge-based systems; Psychology; Artificial intelligence; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0001739711,0.0002215074,0.0002741945,0.00005367216,0.0001082251,0.00002262185,0.0002937914,0.0001540529,0.000003360386],"category_scores_gemma":[0.00001248918,0.0001862614,0.00008240195,0.0000416815,0.0001473686,0.00005635568,0.000365745,0.0001398048,0.000005307086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005327109,"about_ca_system_score_gemma":0.0002695971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002306124,"about_ca_topic_score_gemma":0.000003231421,"domain_scores_codex":[0.9988306,0.00004002858,0.0003579752,0.0003018731,0.0003121656,0.0001574147],"domain_scores_gemma":[0.9986089,0.0001862221,0.0004220226,0.0001506965,0.0005737699,0.00005831551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007967161,0.0001209416,0.001243786,0.0002849974,0.0004429438,0.000002106719,0.003864893,0.007628678,0.000003770378,0.3663059,0.00005368116,0.6199687],"study_design_scores_gemma":[0.004730414,0.0004356793,0.1482194,0.01074201,0.0006653494,0.0002007429,0.00007882433,0.1855741,0.002029764,0.6445976,0.0002600839,0.002465934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05358152,0.003047515,0.2691185,0.00001969709,0.0005177382,0.00131532,0.0001102315,0.0001253395,0.6721641],"genre_scores_gemma":[0.9984701,9.399787e-7,0.0007619235,0.00005087353,0.00009499452,0.000003997623,0.000007847691,0.000009816914,0.0005995086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9448886,"threshold_uncertainty_score":0.7595519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162802798218083,"score_gpt":0.26321391737317,"score_spread":0.2469336375513617,"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."}}