{"id":"W2106654973","doi":"10.1613/jair.1332","title":"Existence of Multiagent Equilibria with Limited Agents","year":2004,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"U.S. Air Force; Advanced Research Projects Agency; Defense Advanced Research Projects Agency","keywords":"Nash equilibrium; Counterexample; Computer science; Perspective (graphical); Extension (predicate logic); Abstraction; Mathematical economics; Artificial intelligence; Mathematics; Epistemology","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":[0.004246173,0.0005157671,0.0008354775,0.0006255598,0.001009136,0.00235858,0.001611127,0.001591947,0.003083315],"category_scores_gemma":[0.03023677,0.0004407434,0.0007160345,0.00057654,0.00250523,0.005905238,0.002574283,0.001900091,0.0003657206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293121,"about_ca_system_score_gemma":0.001005973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001232744,"about_ca_topic_score_gemma":0.001080628,"domain_scores_codex":[0.9968445,0.001364974,0.0002533838,0.0005745438,0.0006127968,0.0003498064],"domain_scores_gemma":[0.9719312,0.01959504,0.003424337,0.002627634,0.001522046,0.0008996659],"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":[0.000242025,0.0001853636,0.008217545,0.0002449868,0.0001297884,0.0006576877,0.0009628307,0.1502218,0.004373424,0.8092673,0.001140564,0.02435686],"study_design_scores_gemma":[0.00008714607,0.0001042584,0.001133915,0.00005805788,0.00002828091,0.0002312509,0.0004039584,0.3675566,0.002830009,0.6241381,0.003396369,0.00003222489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3718626,0.0003470861,0.6018096,0.001720332,0.00002776759,0.0001870829,0.0001740203,0.00018145,0.02369013],"genre_scores_gemma":[0.941676,0.0001406044,0.05564114,0.0001084276,0.00001791323,0.0002266358,0.00006047936,0.00001885008,0.002109987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004246173,"threshold_uncertainty_score":0.02245617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6119528539313067,"score_gpt":0.5618701263001141,"score_spread":0.05008272763119259,"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."}}