{"id":"W1506123608","doi":"10.22329/il.v22i3.2592","title":"Dialogue Games in Multi-Agent Systems","year":2001,"lang":"en","type":"article","venue":"Informal Logic","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Interface (matter); Human–computer interaction; Software; Cognitive science; Epistemology; Artificial intelligence; Management science; Philosophy; Psychology; Engineering; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002810327,0.001089641,0.001302066,0.001251018,0.001881341,0.005502877,0.001593513,0.002967753,0.004580541],"category_scores_gemma":[0.005807979,0.0006569636,0.0007556775,0.001607524,0.006485402,0.007007279,0.002542529,0.003715325,0.0007635793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003344709,"about_ca_system_score_gemma":0.001752934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002827843,"about_ca_topic_score_gemma":0.001871177,"domain_scores_codex":[0.9963482,0.002020364,0.0002184021,0.0003481921,0.0007696714,0.0002951442],"domain_scores_gemma":[0.997309,0.001854759,0.0001886857,0.0001690704,0.0002373806,0.0002411616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000810544,0.00001173361,0.00004423879,0.00006688444,0.00000724973,0.00006949345,0.0002562307,0.004222788,0.00009922375,0.9905585,0.001078672,0.003576841],"study_design_scores_gemma":[0.00001580465,0.00001114673,0.0000429264,0.00003964338,0.000005595624,0.00004504805,0.00009651241,0.01032878,0.00007667968,0.9740752,0.01525345,0.000009231943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02507649,0.08084833,0.6787782,0.01469141,0.00156902,0.0004021246,0.0002370018,0.0003982132,0.1979993],"genre_scores_gemma":[0.8472937,0.02175809,0.1043322,0.001397547,0.001461236,0.0007551456,0.000218688,0.00009650325,0.02268677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005502877,"threshold_uncertainty_score":0.02426773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06039407464896068,"score_gpt":0.2725946541996599,"score_spread":0.2122005795506993,"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."}}