{"id":"W197614363","doi":"10.5555/2048355.2048357","title":"Identifying norms of behaviour in open multi-agent societies","year":2011,"lang":"en","type":"article","venue":"Agent-Directed Simulation","topic":"Access Control and Trust","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Permission; Computer science; Component (thermodynamics); Multi-agent system; JADE (particle detector); Software agent; Agent architecture; Norm (philosophy); Architecture; Inference; Software; Computer security; Software architecture; Software engineering; Artificial intelligence; Law; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004962398,0.0003600653,0.0004884604,0.001129862,0.001431102,0.002933661,0.001025527,0.001246757,0.001416253],"category_scores_gemma":[0.02696363,0.0004566016,0.0009303113,0.0005683223,0.005186875,0.004659668,0.003252705,0.001581693,0.0001702286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477594,"about_ca_system_score_gemma":0.001799419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00466292,"about_ca_topic_score_gemma":0.002730944,"domain_scores_codex":[0.9942726,0.003391851,0.000366703,0.0007462944,0.0009402559,0.0002822778],"domain_scores_gemma":[0.9775541,0.01531883,0.002022991,0.003017185,0.001446692,0.0006401614],"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":[0.0001237818,0.0001173983,0.01034082,0.00009968258,0.00006594267,0.0004206979,0.005950022,0.22911,0.003830674,0.7273805,0.0003293067,0.0222311],"study_design_scores_gemma":[0.00002677163,0.00004266926,0.001000361,0.00003063245,0.00002332413,0.00006995833,0.0007771584,0.5917966,0.002805339,0.4004261,0.002963738,0.0000372523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.186656,0.00005862781,0.8045374,0.0004241433,0.00001759787,0.0001361743,0.00006218879,0.0002472182,0.00786068],"genre_scores_gemma":[0.8577167,0.00006980252,0.1407207,0.0000383502,0.000008845244,0.0001601583,0.00008035178,0.00003361208,0.001171502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004962398,"threshold_uncertainty_score":0.02624398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1624459184513795,"score_gpt":0.3905342897556958,"score_spread":0.2280883713043163,"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."}}