{"id":"W1997518979","doi":"10.1007/s10458-012-9208-7","title":"Reducing model checking commitments for agent communication to model checking ARCTL and GCTL*","year":2012,"lang":"en","type":"article","venue":"Autonomous Agents and Multi-Agent Systems","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Model checking; Computation tree logic; Computer science; Temporal logic; Abstraction model checking; Linear temporal logic; Theoretical computer science; Automaton; Formal verification; Programming language; Benchmark (surveying)","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":[0.008120264,0.001790527,0.001879459,0.001731859,0.002038981,0.004349048,0.006162794,0.002406636,0.009922516],"category_scores_gemma":[0.05560078,0.001751239,0.006863213,0.001510462,0.005000559,0.008596772,0.0111941,0.009683112,0.001737596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004197571,"about_ca_system_score_gemma":0.01076646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02686624,"about_ca_topic_score_gemma":0.02429245,"domain_scores_codex":[0.9800909,0.007614004,0.001042861,0.002982425,0.00526009,0.003009754],"domain_scores_gemma":[0.9186373,0.05208465,0.003331261,0.0182336,0.006337967,0.001375159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001521176,0.0005592918,0.004656103,0.001044897,0.0004642566,0.0008405914,0.00167096,0.5098969,0.01105289,0.3145258,0.0125406,0.1412265],"study_design_scores_gemma":[0.00018664,0.0001216292,0.0002360183,0.00006955131,0.0001838398,0.00008298576,0.0003168246,0.7511188,0.01394428,0.2303879,0.00329085,0.0000606429],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04171614,0.0001181445,0.9377964,0.001659877,0.0002399854,0.0004641334,0.0004897186,0.0108154,0.006700255],"genre_scores_gemma":[0.6423641,0.0001220564,0.3463919,0.0009409594,0.0001628395,0.0006160082,0.001439745,0.003017222,0.004945028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02686624,"threshold_uncertainty_score":0.05341971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023744111200447,"score_gpt":0.3211108509882005,"score_spread":0.2187364398681557,"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."}}