{"id":"W2059929747","doi":"10.1109/cig.2013.6633611","title":"The impact of connection topology and agent size on cooperation in the iterated prisoner's dilemma","year":2013,"lang":"en","type":"article","venue":"","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Prisoner's dilemma; Network topology; Iterated function; Dilemma; Computer science; ENCODE; Graph; Population; Connection (principal bundle); Selection (genetic algorithm); Theoretical computer science; Artificial intelligence; Mathematics; Biology","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":[0.0007448232,0.00004674741,0.00005418056,0.00001737508,0.000446432,0.00007676308,0.00007523213,0.0000460083,0.0004472137],"category_scores_gemma":[0.0003358105,0.00002274599,0.00001878489,0.0001675245,0.0001860155,0.0001845401,0.00000711651,0.00006423291,0.00001819525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004504425,"about_ca_system_score_gemma":0.00005021791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006771678,"about_ca_topic_score_gemma":0.003292702,"domain_scores_codex":[0.9989146,0.0006872131,0.000126148,0.00007720986,0.00008918928,0.0001056131],"domain_scores_gemma":[0.9991598,0.0006079759,0.000037733,0.00007690988,0.00009950451,0.00001806382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000944967,0.0001187539,0.005904512,0.000001407052,0.000015763,3.992329e-7,0.01444567,0.001091882,0.003116114,0.9659715,0.003035604,0.006203947],"study_design_scores_gemma":[0.001504705,0.002394449,0.8764741,0.00003303052,0.00002004961,0.00001012183,0.03735275,0.01500551,0.0012238,0.05766962,0.007923192,0.0003886474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836806,0.00003290077,0.00006498435,0.00414352,0.00006355539,0.0003515908,7.419987e-7,0.00001133393,0.01165077],"genre_scores_gemma":[0.9988078,0.00007480788,0.000007197033,0.0001892507,0.00005121021,0.00003463831,0.000002712556,0.000001698424,0.0008306291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9083018,"threshold_uncertainty_score":0.9998423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155019410554471,"score_gpt":0.3113834656082883,"score_spread":0.2958815245528412,"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."}}