{"id":"W2898968595","doi":"10.1109/dasc/picom/datacom/cyberscitec.2018.00053","title":"Hunting Algorithm Visualization and Performance Evaluation Through BDI Agent Simulation","year":2018,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"NetLogo; Computer science; Flexibility (engineering); Convergence (economics); Perception; Visualization; Algorithm; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.001258872,0.000110521,0.0001037819,0.0001248459,0.0003022491,0.0002916564,0.0002571581,0.00005310938,0.0002855295],"category_scores_gemma":[0.0003008563,0.0001023003,0.0000166077,0.0006569861,0.00007099018,0.001302612,0.0002070406,0.00005995964,0.0001137442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006250366,"about_ca_system_score_gemma":0.00007624902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002068176,"about_ca_topic_score_gemma":0.000002244771,"domain_scores_codex":[0.9981049,0.0001704202,0.0002771945,0.0003946728,0.0008229359,0.000229897],"domain_scores_gemma":[0.9984804,0.0001078188,0.0001028464,0.0003331952,0.0009122225,0.00006353411],"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":[0.000003402349,0.00003962601,0.0006690194,0.00001296038,0.00001218632,4.660826e-7,0.001197629,0.01494201,0.00003965371,0.008722884,0.0001525318,0.9742076],"study_design_scores_gemma":[0.0003231324,0.0001128728,0.003837994,0.00001050951,0.000006385714,0.000002666168,0.0000229883,0.9928659,0.001128508,0.0004969912,0.001068148,0.0001238821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01014689,0.00003599637,0.9840874,0.0001206467,0.0002711591,0.0003540341,4.958441e-7,0.0001406617,0.004842701],"genre_scores_gemma":[0.5655608,0.00003731937,0.4335345,0.0001783432,0.0001698821,0.00001745077,0.00001147241,0.000009892602,0.0004804167],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9779239,"threshold_uncertainty_score":0.4171686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06939797069354116,"score_gpt":0.3829392804408748,"score_spread":0.3135413097473337,"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."}}