{"id":"W1511105359","doi":"10.1007/10719619_13","title":"Reactivity in a Logic-Based Robot Programming Framework","year":2000,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Nondeterministic algorithm; Computer science; Logic programming; Robot; Programming language; Plan (archaeology); Domain (mathematical analysis); Event (particle physics); Artificial intelligence; Theoretical computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001536233,0.0007442945,0.0006355806,0.0005670873,0.001190811,0.002769257,0.003040765,0.001264833,0.004881003],"category_scores_gemma":[0.001857779,0.0007576134,0.001778179,0.000499802,0.002687698,0.003939707,0.002636714,0.002578725,0.0009172187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127678,"about_ca_system_score_gemma":0.001011076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002189195,"about_ca_topic_score_gemma":0.002617671,"domain_scores_codex":[0.9989637,0.0003023247,0.00006675113,0.0002132027,0.0002923641,0.0001615463],"domain_scores_gemma":[0.999266,0.0003782097,0.00006008659,0.0001340664,0.00008042607,0.00008134656],"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":[0.00005876913,0.00004163764,0.0001444117,0.0000799961,0.00002070161,0.0001439132,0.0002699165,0.04426779,0.003127712,0.934438,0.001205064,0.01620208],"study_design_scores_gemma":[0.00003875285,0.00004942404,0.00008998295,0.00002789023,0.00004757931,0.0001051796,0.00006495789,0.2479333,0.003397609,0.7343474,0.01386307,0.00003492085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008021295,0.0001727259,0.9796457,0.0003879644,0.0000540961,0.00005661259,0.0000461818,0.00116268,0.0104528],"genre_scores_gemma":[0.3320317,0.0004543213,0.6500041,0.0003231954,0.0001562264,0.000280933,0.0001865575,0.0005495173,0.01601336],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004881003,"threshold_uncertainty_score":0.01632857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164202486557408,"score_gpt":0.2589870727840362,"score_spread":0.2373450479184621,"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."}}