{"id":"W2162625727","doi":"10.1109/icas.2008.32","title":"Coordinating Autonomous Agents for Force Protection Using Contract Net","year":2008,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; Lockheed Martin (Canada)","funders":"","keywords":"Battlespace; Combatant; Survivability; Computer science; Computer security; Task (project management); Interoperability; Situation awareness; Risk analysis (engineering); Knowledge management; Process management; Systems engineering; Engineering; Business; Computer network; World Wide Web","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":[0.00101308,0.0002747055,0.00030234,0.0002530705,0.0006074934,0.001160931,0.0007852823,0.0005338897,0.002808047],"category_scores_gemma":[0.002531626,0.0002035283,0.0002361117,0.0003487628,0.001028342,0.001215796,0.00113884,0.0006178651,0.000236756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008685944,"about_ca_system_score_gemma":0.002145097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006342839,"about_ca_topic_score_gemma":0.005937998,"domain_scores_codex":[0.9995539,0.0002210959,0.00002106703,0.00004637057,0.0001079357,0.00004963197],"domain_scores_gemma":[0.9990987,0.0004747872,0.0001046355,0.0001198548,0.00009085659,0.0001111116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001402632,0.00007054168,0.0008236974,0.00003199352,0.00001756407,0.0001154084,0.0002921567,0.8401259,0.002997019,0.1272082,0.001092935,0.02708432],"study_design_scores_gemma":[0.0000227723,0.00002373092,0.00006707495,0.000004165785,0.000003717259,0.00001141348,0.00003756111,0.9852962,0.0006558318,0.01114947,0.00272324,0.000004814759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08516311,0.0001094589,0.8999137,0.0003661939,0.00005000463,0.000124638,0.00003714268,0.0003483571,0.01388748],"genre_scores_gemma":[0.8047194,0.0001734011,0.1855696,0.00005970837,0.00002036509,0.0002782521,0.00008852756,0.00003924634,0.009051438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006342839,"threshold_uncertainty_score":0.01261181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.363831659479415,"score_gpt":0.4575597513308489,"score_spread":0.09372809185143394,"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."}}