{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003638318,0.0001320231,0.0001416489,0.0001997299,0.00005796427,0.0001071855,0.0003549298,0.00006617582,0.0000592023],"category_scores_gemma":[0.00001611082,0.0001149429,0.0000636925,0.0003883638,0.000009096961,0.0002944491,0.00006727918,0.00007690199,0.0002484553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001464806,"about_ca_system_score_gemma":0.00003623941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001314592,"about_ca_topic_score_gemma":0.0007646013,"domain_scores_codex":[0.9987034,0.0001076156,0.0003593468,0.0003449838,0.0002410242,0.0002436411],"domain_scores_gemma":[0.9993603,0.00005951799,0.000113851,0.0003765095,0.00004385275,0.00004597581],"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":[0.00002107488,0.001477636,0.08512428,0.0001213131,0.00001576797,0.00005931944,0.0009395644,0.06827299,0.005337504,0.7596319,0.02181833,0.05718028],"study_design_scores_gemma":[0.0008242282,0.00009464828,0.2199635,0.00004424126,0.000003939748,0.000004568924,0.00004071964,0.7551818,0.005988017,0.00630363,0.01116131,0.0003893793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03910427,0.00008202563,0.9447986,0.002246798,0.0004511796,0.0003416977,7.559969e-7,0.0001571435,0.01281746],"genre_scores_gemma":[0.981861,0.000005085386,0.01651093,0.0007384766,0.00006842445,0.00002548646,0.00001287079,0.000006429779,0.0007712739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9427568,"threshold_uncertainty_score":0.4687236,"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."}}