{"id":"W29265412","doi":"10.1111/1346-8138.14192","title":"Multiple agents moving target search","year":2003,"lang":"en","type":"article","venue":"International Joint Conference on Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Domain (mathematical analysis); Search problem; Search algorithm; Bidirectional search; State (computer science); Multi-agent system; Incremental heuristic search; Artificial intelligence; Mathematical optimization; Beam search; Algorithm; Mathematics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007961813,0.0002365723,0.0001917631,0.0002770596,0.0002339131,0.000535318,0.001181811,0.0000936172,0.0009262673],"category_scores_gemma":[0.0006523248,0.0002351887,0.0001054619,0.0002966617,0.0000841414,0.0004477195,0.000165586,0.0004086577,0.001347376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001141416,"about_ca_system_score_gemma":0.0002156883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001038357,"about_ca_topic_score_gemma":0.00001525335,"domain_scores_codex":[0.9974644,0.0001866226,0.0005230724,0.0006388255,0.0007316823,0.0004554001],"domain_scores_gemma":[0.9985418,0.0002765937,0.0001387236,0.0004686921,0.0003963352,0.0001778088],"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":[0.00001898283,0.0001561809,0.001069519,0.000006593131,0.00003023166,0.00005773974,0.0009661611,0.01315841,0.00324608,0.9322715,0.0003728004,0.04864582],"study_design_scores_gemma":[0.00005797454,0.0001237908,0.0003319589,0.0001410225,0.000002563336,0.00002157694,0.0002633633,0.7646964,0.1300853,0.1000917,0.003789254,0.0003951067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01133231,0.00001923263,0.9521996,0.002473633,0.001613475,0.0001744309,0.00001245537,0.0001993754,0.03197549],"genre_scores_gemma":[0.9480729,0.00001408907,0.05055745,0.0006301357,0.00009241448,0.00001925209,0.0000120059,0.00001345745,0.0005883078],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9367406,"threshold_uncertainty_score":0.999987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1572151320510519,"score_gpt":0.3316735627996419,"score_spread":0.17445843074859,"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."}}