{"id":"W2076248637","doi":"10.1145/1068009.1068018","title":"The impact of cellular representation on finite state agents for prisoner's dilemma","year":2005,"lang":"en","type":"article","venue":"","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Prisoner's dilemma; Dilemma; Cellular automaton; Computer science; Representation (politics); Finite-state machine; Iterated function; Theoretical computer science; Set (abstract data type); Character (mathematics); Superrationality; Artificial intelligence; Algorithm; Mathematics; Programming language; Political science","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":[0.0005967745,0.0000446969,0.00005146334,0.0000197634,0.000460742,0.00003252453,0.0001032971,0.00002477428,0.0001751671],"category_scores_gemma":[0.0002248469,0.00002865768,0.00007199715,0.0001063433,0.00008632115,0.0001823111,0.000007894479,0.00003042375,0.00002738377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000638971,"about_ca_system_score_gemma":0.00006799718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000570488,"about_ca_topic_score_gemma":0.0004703581,"domain_scores_codex":[0.999319,0.0001683547,0.0001371218,0.00008829553,0.0001552626,0.0001319201],"domain_scores_gemma":[0.9993118,0.0003779301,0.00006701157,0.000108418,0.0001019048,0.00003295385],"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":[0.0008265842,0.0003517568,0.003055395,0.000005549529,0.0001052051,8.558771e-7,0.01836867,0.1235436,0.003797584,0.7449918,0.02820217,0.07675078],"study_design_scores_gemma":[0.004238307,0.002984132,0.05103999,0.00007628055,0.00009211042,0.000001092446,0.01148285,0.1442906,0.05201473,0.2162269,0.5164688,0.001084171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954044,0.00003678121,0.01189598,0.001451761,0.00009398267,0.0005220788,0.00001569092,0.00003630029,0.03190335],"genre_scores_gemma":[0.981793,0.00005112413,0.0001272551,0.00003941006,0.0001301768,0.0000207253,0.00001198011,0.000003653388,0.01782263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5287648,"threshold_uncertainty_score":0.3543701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04115433926948187,"score_gpt":0.3696813325545024,"score_spread":0.3285269932850205,"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."}}