{"id":"W4410415772","doi":"10.1080/10447318.2025.2495117","title":"Simulating Social Behavior of LLM-Based Autonomous Negotiator Agents in a Game-Theoretical Framework Using Multi-Agent Systems","year":2025,"lang":"en","type":"article","venue":"International Journal of Human-Computer Interaction","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; York University","funders":"Gachon University","keywords":"Negotiation; Computer science; Multi-agent system; Human–computer interaction; Artificial intelligence; Sociology; Social science","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":[0.002140664,0.0005651079,0.0005799013,0.0006376599,0.000930927,0.001410074,0.001194427,0.001144644,0.002674253],"category_scores_gemma":[0.007673249,0.0003794073,0.0006587559,0.0003985557,0.001444549,0.001521498,0.001622582,0.001285482,0.0002036282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001799809,"about_ca_system_score_gemma":0.001344364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009326705,"about_ca_topic_score_gemma":0.007598387,"domain_scores_codex":[0.9987734,0.0008088335,0.00004797114,0.0001138891,0.0001313571,0.0001245483],"domain_scores_gemma":[0.9945028,0.004126587,0.0004460851,0.0003325984,0.0003004031,0.0002915066],"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":[0.0001112933,0.000201803,0.003944821,0.00003342059,0.00004758317,0.00009372027,0.0004070802,0.9706708,0.001672322,0.02043547,0.000143302,0.002238319],"study_design_scores_gemma":[0.00001850719,0.00004007546,0.0002302109,0.000002896684,0.000004595158,0.000005722482,0.00008298887,0.9962942,0.0002194437,0.002939803,0.0001556656,0.000005935347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8960683,0.00006222719,0.09583259,0.0003187877,0.00003107429,0.0002007621,0.00009169277,0.00009332486,0.007301258],"genre_scores_gemma":[0.9783034,0.00002714366,0.02065264,0.00004258958,0.000003904444,0.0001480539,0.00003354275,0.00001165264,0.0007771595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009326705,"threshold_uncertainty_score":0.01854479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06468722969620534,"score_gpt":0.40003960882062,"score_spread":0.3353523791244147,"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."}}