{"id":"W2059745530","doi":"10.1109/cig.2014.6932860","title":"Automated design for playability in computer game agents","year":2014,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Simple (philosophy); Finite-state machine; State (computer science); Controller (irrigation); Human–computer interaction; Basis (linear algebra); Game design; Computer game; Artificial intelligence; Control engineering; Multimedia; Programming language; 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":[0.001070169,0.0005349878,0.0002789733,0.0003371459,0.0005310658,0.001025255,0.0009304864,0.0006195672,0.002368104],"category_scores_gemma":[0.004834402,0.0003480748,0.0004794946,0.0001043074,0.001585685,0.001058551,0.001082994,0.0008760322,0.0002468261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007611198,"about_ca_system_score_gemma":0.001026801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001636962,"about_ca_topic_score_gemma":0.002050848,"domain_scores_codex":[0.9991758,0.0003124341,0.00005115491,0.0001265447,0.0002569094,0.00007708987],"domain_scores_gemma":[0.9984758,0.0009574933,0.0001503697,0.0001662445,0.0001952107,0.00005489341],"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":[0.0001788701,0.000232103,0.00172884,0.0003204809,0.00006139358,0.0003029136,0.0008525879,0.4197706,0.03737521,0.4175866,0.0009775691,0.1206128],"study_design_scores_gemma":[0.00006483596,0.0001832109,0.0003278911,0.00003627674,0.00002919843,0.00006793209,0.00007075585,0.8784003,0.01075353,0.1030799,0.006971548,0.00001459214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04397963,0.00008101267,0.9483688,0.0001696809,0.00002154822,0.0001876073,0.00001765977,0.0004781117,0.006695884],"genre_scores_gemma":[0.7511882,0.0001032015,0.2451542,0.00006842992,0.00001135856,0.0003660881,0.00005220027,0.00008812549,0.002968198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002368104,"threshold_uncertainty_score":0.007922053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0726121322410247,"score_gpt":0.3233846805399265,"score_spread":0.2507725482989018,"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."}}