{"id":"W4245061293","doi":"10.1145/860680.860683","title":"Multi-Agent coordination based on tokens","year":2003,"lang":"en","type":"article","venue":"Proceedings of the second international joint conference on Autonomous agents and multiagent systems - AAMAS '03","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Bullwhip effect; Supply chain; Focus (optics); Computer science; Coordination game; Multi-agent system; Supply chain management; Microeconomics; Business; Artificial intelligence; Economics; Marketing","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":[0.001752817,0.000738884,0.0009945622,0.0005710506,0.0009487885,0.001547607,0.00177558,0.0009039905,0.003019331],"category_scores_gemma":[0.004596001,0.0004032439,0.0006550252,0.0005928379,0.00170068,0.002536813,0.00231488,0.001121775,0.0004892008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162548,"about_ca_system_score_gemma":0.001614023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001755259,"about_ca_topic_score_gemma":0.001357023,"domain_scores_codex":[0.9981443,0.0007141034,0.0001581398,0.0003719095,0.000392456,0.000219114],"domain_scores_gemma":[0.9966434,0.0016551,0.0005255326,0.0005033088,0.0003029006,0.0003699054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004580537,0.00009874607,0.0007217403,0.0002199379,0.0001228378,0.0004508123,0.0003537091,0.6259719,0.01073896,0.319552,0.00187649,0.03943486],"study_design_scores_gemma":[0.000109689,0.000138843,0.000117261,0.00001583333,0.00003379601,0.00008744893,0.00005301643,0.9139181,0.003620781,0.07604849,0.005827371,0.00002924564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01756733,0.0001920614,0.9764701,0.000260718,0.0001009684,0.0001341659,0.000033063,0.0003988496,0.004842814],"genre_scores_gemma":[0.8018268,0.0002764071,0.1893813,0.000138048,0.00007953319,0.000467516,0.00006260863,0.000100131,0.007667632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003019331,"threshold_uncertainty_score":0.01010066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05053943603895184,"score_gpt":0.2467870962672427,"score_spread":0.1962476602282908,"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."}}