{"id":"W1989745730","doi":"10.1109/sitis.2013.166","title":"MAS Controlled NPCs in 3D Virtual Learning Environment","year":2013,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Metaverse; Human–computer interaction; Context (archaeology); Interface (matter); Instructional simulation; Multimedia; Narrative; Virtual reality; Virtual agent; Multi-agent system; Virtual machine; Intelligent agent; Artificial intelligence","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":[0.0002525423,0.0004890772,0.0003356438,0.0002304122,0.0004863203,0.0007452634,0.0007265731,0.000520265,0.004942305],"category_scores_gemma":[0.0004182764,0.0002068421,0.0003893581,0.0001111143,0.0006303762,0.0005462458,0.001118032,0.0003064528,0.0006642681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002598168,"about_ca_system_score_gemma":0.0003238314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001710135,"about_ca_topic_score_gemma":0.001630807,"domain_scores_codex":[0.9997272,0.0000857691,0.00001295797,0.00005402873,0.00008782843,0.00003222267],"domain_scores_gemma":[0.9998023,0.0000575486,0.00002146185,0.00003888348,0.00002983146,0.00005003367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001557399,0.000815388,0.005785136,0.0005738607,0.00009952813,0.003125314,0.005013737,0.2849267,0.4922027,0.05653508,0.005186675,0.1441785],"study_design_scores_gemma":[0.0002734903,0.001609057,0.005493665,0.0000788441,0.0001107682,0.001128321,0.0009790179,0.7289866,0.1658874,0.01018868,0.08510368,0.000160481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3899824,0.0001398419,0.5707739,0.0001491049,0.0001280948,0.0004001152,0.000193886,0.003518076,0.03471464],"genre_scores_gemma":[0.8881535,0.0000940074,0.09182605,0.00004326326,0.00000821476,0.0002791407,0.0001149382,0.0001209383,0.01935994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004942305,"threshold_uncertainty_score":0.01653361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482542621405375,"score_gpt":0.2295120917870874,"score_spread":0.2146866655730336,"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."}}