{"id":"W2100627221","doi":"10.1109/iat.2007.80","title":"Economically Inspired Self-healing Model for Multi-Agent Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Negotiation; Computer science; Fault tolerance; Autonomic computing; Multi-agent system; IBM; Self-healing; Distributed computing; Socialism; Risk analysis (engineering); Communism; Artificial intelligence; 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":[0.0009871479,0.0006043371,0.000551293,0.0004686003,0.0006984214,0.001598399,0.001768868,0.001511866,0.002895434],"category_scores_gemma":[0.001480212,0.0002162358,0.0006007817,0.0004138791,0.001108245,0.001646617,0.001015817,0.001130812,0.0004101441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373161,"about_ca_system_score_gemma":0.0009662741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001287191,"about_ca_topic_score_gemma":0.00101234,"domain_scores_codex":[0.9992779,0.0002798289,0.00002808777,0.00007878264,0.0002591632,0.00007622147],"domain_scores_gemma":[0.999491,0.0002121563,0.00008712635,0.00005230376,0.00009238042,0.00006515519],"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":[0.00003726488,0.00007084099,0.0002574765,0.00006180428,0.00003580261,0.0002288818,0.0001808138,0.4487088,0.001828409,0.5394894,0.001063818,0.008036681],"study_design_scores_gemma":[0.00002631969,0.00003441512,0.00006139941,0.000007542558,0.000007958927,0.00005022695,0.00003474434,0.8910913,0.0002150279,0.1053983,0.003063728,0.000008949162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0327104,0.0004839145,0.9382643,0.001615846,0.0001179375,0.0001297127,0.00006727236,0.000118636,0.02649211],"genre_scores_gemma":[0.9084038,0.000690306,0.07447158,0.0001994778,0.0001078733,0.0004481759,0.00006514463,0.00003145367,0.01558215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002895434,"threshold_uncertainty_score":0.009962976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2488123222557785,"score_gpt":0.4250941429329221,"score_spread":0.1762818206771436,"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."}}