{"id":"W2147056661","doi":"10.1109/ccece.2006.277699","title":"A Fuzzy Logic Based Intelligent Negotiation Agent (FINA) in Ecommerce","year":2006,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Negotiation; Computer science; Fuzzy logic; Flexibility (engineering); Intelligent agent; Software agent; The Internet; Negotiation theory; Multi-agent system; Order (exchange); E-commerce; Artificial intelligence; Knowledge management; World Wide Web; Business","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":[0.0007034644,0.0002704794,0.0003581728,0.0004380727,0.001158318,0.001603563,0.001008658,0.001891814,0.001847527],"category_scores_gemma":[0.0009246873,0.0002184911,0.0004543542,0.0003931488,0.0008672816,0.001693473,0.0004993718,0.0008031501,0.0004311656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00076018,"about_ca_system_score_gemma":0.0009459286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00430152,"about_ca_topic_score_gemma":0.002487933,"domain_scores_codex":[0.999483,0.0001892679,0.00003022464,0.00008477761,0.0001689822,0.0000436927],"domain_scores_gemma":[0.9998153,0.00006864371,0.00002127631,0.00001600902,0.00005608529,0.00002262863],"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":[0.0005483237,0.0003446029,0.001944917,0.0004322719,0.0001203153,0.001714027,0.001003509,0.2203946,0.03661653,0.4482061,0.007025556,0.2816493],"study_design_scores_gemma":[0.00007367825,0.0002990194,0.0006262843,0.00009203504,0.00007860584,0.0008908793,0.0001764085,0.8855637,0.01138753,0.05219944,0.0485288,0.00008361063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03661268,0.003193641,0.9155788,0.00109535,0.0004044078,0.0002250521,0.00006197248,0.0005614732,0.04226665],"genre_scores_gemma":[0.6510313,0.001343464,0.3273567,0.0004164615,0.0001191508,0.0001886111,0.00008673609,0.00004374532,0.01941388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00430152,"threshold_uncertainty_score":0.008552969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02860673797007859,"score_gpt":0.2546624271569987,"score_spread":0.2260556891869201,"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."}}