{"id":"W175472853","doi":"","title":"Coalitional bargaining with agent type uncertainty","year":2007,"lang":"en","type":"article","venue":"International Joint Conference on Artificial Intelligence","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Negotiation; Heuristic; Mathematical economics; Bayesian probability; Computer science; Bayesian game; Mathematical optimization; Type (biology); Game theory; Rational agent; Bargaining problem; Economics; Artificial intelligence; Mathematics; Repeated game","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":[0.007348159,0.0008421459,0.00206228,0.0009180449,0.001409038,0.003539399,0.003183145,0.00251501,0.003846141],"category_scores_gemma":[0.02539112,0.0007054748,0.001322989,0.002153773,0.002527279,0.004380543,0.002633717,0.002573163,0.0005849896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002917117,"about_ca_system_score_gemma":0.00197447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00378087,"about_ca_topic_score_gemma":0.003590034,"domain_scores_codex":[0.9951806,0.002437187,0.0001885246,0.0007051794,0.0009678765,0.0005206685],"domain_scores_gemma":[0.9857365,0.0110821,0.0009000037,0.001236209,0.0006129849,0.0004322857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001440436,0.00005273694,0.0005819963,0.00003838557,0.00006565016,0.0001480985,0.0002661203,0.5981445,0.0004854291,0.3823184,0.0007851273,0.01696952],"study_design_scores_gemma":[0.00003324441,0.00001632558,0.00007559492,0.000007852158,0.00001254137,0.0000315795,0.00005377205,0.8045505,0.0002969462,0.1936976,0.001211362,0.00001256831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03452216,0.0001616459,0.95676,0.0003213437,0.00004053827,0.00007901573,0.00007294906,0.0000829733,0.00795932],"genre_scores_gemma":[0.7326419,0.0003487906,0.2588271,0.0001230378,0.00007339494,0.0002256381,0.0001700677,0.00005826358,0.00753193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007348159,"threshold_uncertainty_score":0.03886127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1938340754753523,"score_gpt":0.3125534067218377,"score_spread":0.1187193312464854,"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."}}