{"id":"W4212869235","doi":"10.3389/frobt.2021.771520","title":"Balancing Collective Exploration and Exploitation in Multi-Agent and Multi-Robot Systems: A Review","year":2022,"lang":"en","type":"review","venue":"Frontiers in Robotics and AI","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Flexibility (engineering); Benchmark (surveying); Robot; Swarm behaviour; Distributed computing; Dilemma; Swarm intelligence; Data science; Management science; Risk analysis (engineering); Artificial intelligence; Human–computer interaction; Machine learning; Particle swarm optimization","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001106195,0.0004648103,0.001826269,0.0005262742,0.0001594264,0.0003258224,0.0003624245,0.0001834033,8.729821e-7],"category_scores_gemma":[0.0002260544,0.0004482916,0.00009358713,0.0008741517,0.00004818179,0.0005999532,0.0003269696,0.0004726663,0.000001229895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006143082,"about_ca_system_score_gemma":0.0002253193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007876173,"about_ca_topic_score_gemma":0.00003748048,"domain_scores_codex":[0.9965738,0.000792743,0.001051924,0.0008998627,0.0003061417,0.0003755308],"domain_scores_gemma":[0.998704,0.0001724293,0.0005298606,0.0003969709,0.00006187957,0.0001348605],"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":[0.000008114542,0.0002956147,0.0007396016,0.06899177,0.0002485527,0.0001710063,0.002703589,0.007942543,5.52496e-7,0.0008653233,0.00325107,0.9147823],"study_design_scores_gemma":[0.002074679,0.000110121,0.0001110658,0.04820603,0.0002891782,0.00006442617,0.0007735456,0.7601741,6.054387e-8,0.00007611695,0.1871722,0.0009485114],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[2.4756e-7,0.5532939,0.4442018,0.00008526928,0.0007913809,0.001577588,0.00001985564,0.00002439189,0.000005598731],"genre_scores_gemma":[0.00003521846,0.9662925,0.03249796,0.00008679779,0.00002656926,0.0008257459,0.00007406651,0.00003271939,0.0001284219],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9138337,"threshold_uncertainty_score":0.9997969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08286976716573653,"score_gpt":0.3151888085280183,"score_spread":0.2323190413622818,"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."}}