{"id":"W2029211033","doi":"10.1145/508791.508795","title":"Simulating evolutionary agent communities with OOCSMP","year":2002,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Set (abstract data type); Swarm behaviour; Multi-agent system; Distributed computing; Agent-based social simulation; Artificial intelligence; Programming language","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":[0.00008133213,0.0000736673,0.00007368933,0.00004872316,0.000198268,0.00006856029,0.0002701326,0.00002234118,0.0002497757],"category_scores_gemma":[0.000003759576,0.00005464207,0.00002213344,0.0001289012,0.00001680652,0.0003776152,0.00008355345,0.00005543106,0.0001478167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003075754,"about_ca_system_score_gemma":0.000005437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002686852,"about_ca_topic_score_gemma":0.0000550094,"domain_scores_codex":[0.9993771,0.00005792469,0.0001309384,0.0001028346,0.0001967186,0.0001344761],"domain_scores_gemma":[0.9994493,0.00007195568,0.00005305439,0.0003396676,0.00004656592,0.00003945489],"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":[0.00002157224,0.00132905,0.2189687,0.0002807879,0.0002681618,0.00009830588,0.07259016,0.1245554,0.001192448,0.3981234,0.06866814,0.1139038],"study_design_scores_gemma":[0.0002130541,0.00004457979,0.01006445,0.00002448857,0.000001585193,0.00001184627,0.0002745974,0.9852087,0.00005214986,0.00006530647,0.003932906,0.0001063467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.126215,0.0002536801,0.8322684,0.0007549732,0.0002420292,0.0002266892,0.000001014461,0.0003840989,0.03965414],"genre_scores_gemma":[0.9753568,0.000006325966,0.02187522,0.0002154124,0.00003695405,0.000006425885,0.000001656229,0.000004262896,0.002496955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8606533,"threshold_uncertainty_score":0.2734869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05546647944498565,"score_gpt":0.2332228449629322,"score_spread":0.1777563655179465,"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."}}