{"id":"W2153967981","doi":"10.1177/1046878110378708","title":"Applying Cellular Automata and DEVS Methodologies to Digital Games: A Survey","year":2010,"lang":"en","type":"article","venue":"Simulation & Gaming","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Cellular automaton; Computer science; DEVS; Theoretical computer science; Formalism (music); Von Neumann architecture; Game theory; Modeling and simulation; Artificial intelligence; Simulation; Programming language; Mathematics","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":[0.00169497,0.001470982,0.001363573,0.002572884,0.0007981422,0.002973436,0.002007127,0.001514115,0.003728993],"category_scores_gemma":[0.003936669,0.0009334311,0.002105636,0.003230901,0.002109624,0.002679334,0.001824788,0.001845872,0.001183571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001979584,"about_ca_system_score_gemma":0.001525509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004547966,"about_ca_topic_score_gemma":0.003002233,"domain_scores_codex":[0.9981368,0.0007669528,0.0002212949,0.0002478775,0.000546849,0.00008023442],"domain_scores_gemma":[0.9978854,0.001422173,0.0001062401,0.0002511153,0.0002666553,0.00006837903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002414732,0.00008435108,0.001331934,0.001222017,0.00009925139,0.0002472039,0.0004318019,0.08818559,0.00160126,0.7377722,0.002448243,0.166552],"study_design_scores_gemma":[0.00003308076,0.0001146186,0.0005220801,0.0004502226,0.00005636777,0.0005575595,0.0003573322,0.3445513,0.002749722,0.4895683,0.1609515,0.00008782285],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004384967,0.01612341,0.9530256,0.0009242966,0.0002424277,0.0001463943,0.0001343082,0.0002717961,0.02474684],"genre_scores_gemma":[0.2034216,0.0645114,0.716325,0.0007655365,0.000632418,0.001087142,0.0006366194,0.0003128088,0.01230753],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004547966,"threshold_uncertainty_score":0.01436299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2835971831796661,"score_gpt":0.4840885857674394,"score_spread":0.2004914025877733,"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."}}