{"id":"W2143369125","doi":"10.1109/icc.2009.50","title":"General Game Playing: An Overview and Open Problems","year":2009,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Game design; Game Developer; Testbed; Premise; Video game design; Video game development; Game mechanics; Non-cooperative game; Simulations and games in economics education; Key (lock); Game art design; Multimedia; Human–computer interaction; Game theory; World Wide Web; Computer security","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":[0.0002381878,0.00009982897,0.0001301461,0.00003796428,0.00008320468,0.0007083371,0.001347518,0.00003773584,0.00006038631],"category_scores_gemma":[0.00001439719,0.00008141819,0.00001790847,0.0001683476,0.00003128768,0.001415167,0.0003684227,0.0000659401,0.00005672799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001319357,"about_ca_system_score_gemma":0.00003219298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001976889,"about_ca_topic_score_gemma":0.0000898102,"domain_scores_codex":[0.999064,0.00004076053,0.0001808864,0.0003593085,0.0001373214,0.0002177304],"domain_scores_gemma":[0.9993349,0.00002020619,0.00004070921,0.0004459509,0.00003821832,0.0001200702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000185586,0.00006796315,0.0004816416,0.000003374384,0.000003109802,0.00000656529,0.001205991,0.0001608082,0.002121697,0.6649808,0.0006569506,0.3303092],"study_design_scores_gemma":[0.0001567346,0.0007668529,0.01376727,0.00004880178,0.000005418215,0.00006257435,0.00008985231,0.5372605,0.01308308,0.4078044,0.02635038,0.0006041322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3490353,0.002386572,0.5675213,0.01268584,0.0004525359,0.001238169,0.000001506138,0.000683033,0.06599581],"genre_scores_gemma":[0.8685951,0.0001870753,0.1246113,0.004382631,0.00007645782,0.00001001944,9.690975e-7,0.000006255373,0.002130184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5370997,"threshold_uncertainty_score":0.6830511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1489065854433692,"score_gpt":0.3701084383024146,"score_spread":0.2212018528590455,"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."}}