{"id":"W2113473664","doi":"10.1145/1160633.1160797","title":"Ontology-guided learning to improve communication between groups of agents","year":2006,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Ontology; Autonomy; Representation (politics); Common knowledge (logic); Knowledge management; Artificial intelligence; Description logic; Epistemology; Epistemic modal logic","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":[0.003976793,0.0007236221,0.0007417201,0.0008392124,0.001175394,0.001241158,0.002103643,0.001650987,0.003631783],"category_scores_gemma":[0.01339917,0.0003394709,0.0006568869,0.0008833812,0.001735838,0.004786712,0.004092875,0.001717274,0.0007398204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009310263,"about_ca_system_score_gemma":0.00146886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198458,"about_ca_topic_score_gemma":0.002203195,"domain_scores_codex":[0.99674,0.001726306,0.0001325323,0.0003774853,0.0008449526,0.0001787313],"domain_scores_gemma":[0.9935769,0.003818744,0.0006032394,0.001138272,0.0006327624,0.0002300852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003036955,0.0008243062,0.002254948,0.0005028485,0.0002677971,0.0003660689,0.004542669,0.2165889,0.01800977,0.201383,0.005500013,0.5494561],"study_design_scores_gemma":[0.0001119367,0.0001822763,0.0005240092,0.00005817834,0.00008619145,0.000189291,0.0005221756,0.7983671,0.01486692,0.1657447,0.01929929,0.00004786455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01198216,0.00009081559,0.983712,0.0002614415,0.00002950969,0.00008831232,0.00001323806,0.0003619089,0.003460639],"genre_scores_gemma":[0.3444911,0.0001535152,0.6501721,0.0001959261,0.00004771726,0.000302544,0.0000914925,0.00008895403,0.004456605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003976793,"threshold_uncertainty_score":0.02103156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03386670041417472,"score_gpt":0.2878724511165801,"score_spread":0.2540057507024054,"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."}}