{"id":"W82584247","doi":"10.1007/978-3-319-00615-4_19","title":"Publish/Subscribe System Based on Event Calculus to Support Real-Time Multi-Agent Evacuation Simulation","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in geoinformation and cartography","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Event calculus; Event (particle physics); Middleware (distributed applications); Publication; Service (business); Process (computing); Variety (cybernetics); Distributed computing; Wireless sensor network; Complex event processing; Real-time computing; Computer network; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005374373,0.0005223718,0.000467654,0.002054467,0.0001436164,0.0005021275,0.0006507827,0.0005799655,0.00005405466],"category_scores_gemma":[0.0001326356,0.0004853624,0.0001913164,0.0006345235,0.00003909508,0.0007185451,0.0002284059,0.0004060636,0.0003924005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002768897,"about_ca_system_score_gemma":0.00008060563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005309658,"about_ca_topic_score_gemma":0.00008751799,"domain_scores_codex":[0.9972934,0.00004376348,0.000795694,0.0005894946,0.0008282425,0.0004494411],"domain_scores_gemma":[0.99791,0.0001939503,0.0003575888,0.0009502826,0.0003705184,0.0002176181],"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":[0.00003185671,0.00003181397,0.0001171863,0.0001744867,0.00003950869,0.000007220299,0.00144138,0.7139252,0.00002743154,0.01046256,0.00289599,0.2708453],"study_design_scores_gemma":[0.0005099699,0.0003295905,0.0008070635,0.0003639717,0.00002319791,0.000003896963,0.00001203273,0.9766548,0.0001257986,0.0006506729,0.0198981,0.0006209331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000541365,0.00003469964,0.9717308,0.001445398,0.0004788785,0.001907328,0.0000347878,0.0008970848,0.02292971],"genre_scores_gemma":[0.9400138,0.00002432382,0.05373278,0.003211082,0.0001428665,0.0002393405,0.0006164788,0.0000709561,0.001948383],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9394724,"threshold_uncertainty_score":0.9997598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139498210988291,"score_gpt":0.2391197419553572,"score_spread":0.225169920856528,"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."}}