{"id":"W2163293603","doi":"10.1109/icsmc.2009.5346292","title":"Constrained rationality: Formal goals-reasoning approach to strategic decision & conflict analysis","year":2009,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rationality; Computer science; Set (abstract data type); Strategic thinking; Management science; Property (philosophy); Value (mathematics); Knowledge management; Strategic planning; Artificial intelligence; Operations research; Mathematics; Economics; Machine learning; Management; Political science; Epistemology","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":[0.0007921379,0.0001784738,0.0002995522,0.0003228142,0.0002131736,0.0004120259,0.0004836613,0.00008251858,0.00008276815],"category_scores_gemma":[0.0000439293,0.0001473568,0.0001678811,0.001239324,0.00001450606,0.0007337031,0.00006373331,0.00008144734,0.0001019442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005169149,"about_ca_system_score_gemma":0.00006855918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000102027,"about_ca_topic_score_gemma":0.00005435398,"domain_scores_codex":[0.9980797,0.00008237352,0.0004719835,0.0005028633,0.0005278701,0.000335241],"domain_scores_gemma":[0.9988758,0.0000931229,0.0001333815,0.0005338815,0.0001582842,0.0002055224],"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":[0.00002253639,0.0003062586,0.00174358,0.000008441989,0.0001917623,0.000002145233,0.001204478,0.01977719,0.002028444,0.9579363,0.000737257,0.01604161],"study_design_scores_gemma":[0.001067896,0.0001181121,0.05158835,0.00002294706,0.00009148743,0.0000208204,0.0001577619,0.9410126,0.0003537995,0.002600444,0.002451335,0.0005144078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.075996,0.0000256744,0.8945049,0.0003287326,0.00008185348,0.0002864696,0.000003886196,0.0001482868,0.0286242],"genre_scores_gemma":[0.7958683,0.000001847844,0.2028589,0.0005786861,0.00005551076,0.000009486793,0.00004065256,0.0000032435,0.0005833046],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9553359,"threshold_uncertainty_score":0.6009037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06286737284948087,"score_gpt":0.3050693854707091,"score_spread":0.2422020126212282,"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."}}