{"id":"W2328441893","doi":"10.2514/6.2007-6410","title":"Cooperative and Deceptive Planning of Multiformations of Networked UCAVs in Adversarial Urban Environments","year":2007,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation and Control Conference and Exhibit","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Adversarial system; Computer science; Artificial intelligence","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":[0.000945424,0.0007382811,0.0006912961,0.000376892,0.0006210485,0.0008632471,0.001205254,0.0009092175,0.001950981],"category_scores_gemma":[0.002323114,0.0004224344,0.0005028198,0.0003676048,0.001376145,0.0008610582,0.001776362,0.0009493718,0.000177843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293489,"about_ca_system_score_gemma":0.00134639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01773386,"about_ca_topic_score_gemma":0.01247246,"domain_scores_codex":[0.9994507,0.0001351627,0.0000175882,0.0001268188,0.00009882834,0.0001709075],"domain_scores_gemma":[0.9986262,0.0007532811,0.0002353503,0.00007789072,0.0001300929,0.0001771379],"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":[0.00002700221,0.000008791718,0.0002331074,0.000005829577,0.000004749919,0.00004034983,0.00002458206,0.9944996,0.0003104098,0.002697639,0.00007111773,0.002076807],"study_design_scores_gemma":[0.000002274701,0.00001252856,0.00004567692,0.000001017459,0.00000162165,0.000004225554,0.000007882451,0.998744,0.0001141887,0.0009958614,0.00006906527,0.000001774166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1792645,0.0001485181,0.8154576,0.000301112,0.0000333839,0.00005492372,0.00007575007,0.0002298646,0.004434416],"genre_scores_gemma":[0.9782088,0.00005339875,0.01988208,0.00003180464,0.000006272723,0.00004608285,0.00004165395,0.00001437597,0.00171549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01773386,"threshold_uncertainty_score":0.03526127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210474195996143,"score_gpt":0.2446131804339696,"score_spread":0.2325084384740082,"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."}}