{"id":"W2121441589","doi":"10.1609/aimag.v30i1.2174","title":"Agents, Bodies, Constraints, Dynamics, and Evolution","year":2009,"lang":"en","type":"article","venue":"AI Magazine","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Theme (computing); Constraint (computer-aided design); Dynamics (music); Computer science; Artificial intelligence; Constraint satisfaction problem; Association (psychology); Intelligent agent; Management science; Cognitive science; Engineering; Epistemology; Psychology; World Wide Web; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000861258,0.0004097223,0.0005576475,0.0008617062,0.001063527,0.003529595,0.0006892061,0.001313253,0.004901506],"category_scores_gemma":[0.002396318,0.0003521021,0.000345939,0.001519736,0.007595208,0.004105221,0.001795584,0.002399345,0.0005612789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002117723,"about_ca_system_score_gemma":0.001231534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007539748,"about_ca_topic_score_gemma":0.005867778,"domain_scores_codex":[0.9991837,0.0003510585,0.00003903679,0.0001270456,0.000243253,0.00005593367],"domain_scores_gemma":[0.9991358,0.0004947151,0.00009404153,0.00008344286,0.000122279,0.0000696168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004615545,0.000004559902,0.0002474919,0.00005706674,0.00000813777,0.00004334723,0.0003168819,0.004582984,0.000227097,0.9787782,0.003084796,0.01264476],"study_design_scores_gemma":[0.000003392269,0.000007449898,0.0002725724,0.00003308044,0.000003534975,0.00007487002,0.0002192065,0.006346633,0.0001323306,0.9361504,0.05674729,0.000009139207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03857043,0.09260426,0.4564232,0.03456824,0.001728849,0.00009305173,0.0003562174,0.0004153068,0.3752404],"genre_scores_gemma":[0.7525348,0.04922911,0.1234498,0.002921841,0.001657396,0.0002903286,0.0004682872,0.0002628898,0.06918544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007539748,"threshold_uncertainty_score":0.01639712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008000819366642754,"score_gpt":0.2331126536950781,"score_spread":0.2251118343284353,"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."}}