{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008142794,0.0001093474,0.0001530647,0.00008051576,0.00003810247,0.0001061544,0.000736227,0.00006179154,0.00002681654],"category_scores_gemma":[0.0001418029,0.00009561748,0.000047074,0.0002198841,0.00004623109,0.0002831134,0.0001470859,0.00005803186,0.0001492128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004786322,"about_ca_system_score_gemma":0.00003035368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005473152,"about_ca_topic_score_gemma":0.00003311449,"domain_scores_codex":[0.9987463,0.0001367187,0.0002947504,0.0003839928,0.0001416156,0.0002966638],"domain_scores_gemma":[0.9987628,0.0005871203,0.00004833657,0.0004664702,0.00006995503,0.00006525755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005695402,0.0006283747,0.01107716,0.00005856808,0.00002754764,0.000008703145,0.003830806,0.2808217,0.0009015077,0.1354446,0.0255397,0.5416043],"study_design_scores_gemma":[0.0000848072,0.0001075691,0.003993255,0.000007406463,7.958998e-7,0.000001153252,0.000003669184,0.9684561,0.006518512,0.01974093,0.0009656679,0.0001201681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03138312,0.000002477525,0.9664688,0.0004231731,0.0003610302,0.0003851763,4.108679e-7,0.0006592679,0.0003165751],"genre_scores_gemma":[0.6769506,3.288087e-7,0.322463,0.0004580357,0.00003773676,0.00002841817,5.218729e-7,0.000004838543,0.00005654268],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6876343,"threshold_uncertainty_score":0.3899167,"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."}}