{"id":"https://openalex.org/W283133976","doi":"https://doi.org/10.15502/9783958570986","title":"Inference to the Best Prediction","display_name":"Inference to the Best Prediction","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W283133976","doi":"https://doi.org/10.15502/9783958570986","mag":"283133976"},"language":"en","primary_location":{"id":"doi:10.15502/9783958570986","doi":"https://doi.org/10.15502/9783958570986","is_oa":true,"landing_page_url":"https://doi.org/10.15502/9783958570986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.15502/9783958570986","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084274787","display_name":"Anil K. Seth","orcid":"https://orcid.org/0000-0002-1421-6051","observed_orcids":["https://orcid.org/0000-0002-1421-6051"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Seth, Anil K.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5084274787"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1342,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.85058511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10258","display_name":"Philosophy and Theoretical Science","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10778","display_name":"Philosophy of Biology and Scientific Explanation","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1207","display_name":"History and Philosophy of Science"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/active-inference","display_name":"active inference","score":0.875},{"id":"https://openalex.org/keywords/predictive-processing","display_name":"predictive processing","score":0.9789999723434448},{"id":"https://openalex.org/keywords/abduction","display_name":"abduction","score":0.5899999737739563},{"id":"https://openalex.org/keywords/inference-to-the-best-explanation","display_name":"inference to the best explanation","score":0.890999972820282},{"id":"https://openalex.org/keywords/bayesian-brain","display_name":"Bayesian brain","score":0.8100000023841858},{"id":"https://openalex.org/keywords/cybernetics","display_name":"cybernetics","score":0.7979999780654907},{"id":"https://openalex.org/keywords/perceptual-presence","display_name":"perceptual presence","score":0.8190000057220459},{"id":"https://openalex.org/keywords/objecthood","display_name":"objecthood","score":0.8899999856948853},{"id":"https://openalex.org/keywords/counterfactual-modeling","display_name":"counterfactual modeling","score":0.8320000171661377},{"id":"https://openalex.org/keywords/hierarchical-models","display_name":"hierarchical models","score":0.546999990940094},{"id":"https://openalex.org/keywords/interoception","display_name":"interoception","score":0.9369999766349792},{"id":"https://openalex.org/keywords/control","display_name":"control","score":0.4269999861717224}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8807961940765381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6163877844810486},{"id":"https://openalex.org/C115286129","wikidata":"https://www.wikidata.org/wiki/Q123637","display_name":"Cybernetics","level":2,"score":0.5301607251167297},{"id":"https://openalex.org/C917703","wikidata":"https://www.wikidata.org/wiki/Q7239668","display_name":"Predictive inference","level":5,"score":0.499422550201416},{"id":"https://openalex.org/C521332185","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogy","level":2,"score":0.4866198003292084},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.432762086391449},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4320666790008545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4303893446922302},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.41343069076538086},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33789148926734924},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.3273272216320038},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32038426399230957},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2596941590309143},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.23269745707511902}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.15502/9783958570986","doi":"https://doi.org/10.15502/9783958570986","is_oa":true,"landing_page_url":"https://doi.org/10.15502/9783958570986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:283133976","doi":null,"is_oa":false,"landing_page_url":"https://open-mind.net/papers/inference-to-the-best-prediction","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.15502/9783958570986","doi":"https://doi.org/10.15502/9783958570986","is_oa":true,"landing_page_url":"https://doi.org/10.15502/9783958570986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W72555770","https://openalex.org/W379488513","https://openalex.org/W1456772534","https://openalex.org/W1524895715","https://openalex.org/W1582174699","https://openalex.org/W1973832683","https://openalex.org/W1979311208","https://openalex.org/W1982693412","https://openalex.org/W2023149227","https://openalex.org/W2052685640","https://openalex.org/W2077106910","https://openalex.org/W2128666650","https://openalex.org/W2157754891","https://openalex.org/W2492047896","https://openalex.org/W4380741568"],"related_works":["https://openalex.org/W6907636943","https://openalex.org/W6926508946","https://openalex.org/W1456772534","https://openalex.org/W2946025355","https://openalex.org/W72555770","https://openalex.org/W6926709836","https://openalex.org/W7160756648","https://openalex.org/W1996079551","https://openalex.org/W7214345787","https://openalex.org/W6907671974"],"abstract_inverted_index":{"Responding":[0],"to":[1,25,32,60,65,131,147],"Wanja":[2],"Wiese\u2019s":[3],"incisive":[4],"commentary,":[5],"I":[6,83,106,145],"first":[7],"develop":[8],"the":[9,20,33,43,61,76,88,96,135,142,152],"analogy":[10],"between":[11,68,78,87],"predictive":[12,116,159],"processing":[13,160],"and":[14,70,81,95,158],"scientific":[15],"discovery.":[16],"Active":[17],"inference":[18,53,129,150],"in":[19,151],"Bayesian":[21],"brain":[22],"turns":[23],"out":[24],"be":[26,55],"well":[27],"characterized":[28],"by":[29,38,48],"abduction":[30],"(inference":[31],"best":[34,62],"explanation),":[35],"rather":[36],"than":[37],"deduction":[39],"or":[40,102],"induction.":[41],"Furthermore,":[42],"emphasis":[44],"on":[45,75,113,141],"control":[46],"highlighted":[47],"cybernetics":[49,157],"suggests":[50],"that":[51,108,118,139],"active":[52,72,128,149],"can":[54],"a":[56,66,85],"process":[57],"of":[58,92,98,100,154],"\u201cinference":[59],"prediction\u201d,":[63],"leading":[64],"distinction":[67,86],"\u201cepistemic\u201d":[69],"\u201cinstrumental\u201d":[71],"inference.":[73],"Secondly,":[74],"relationship":[77],"perceptual":[79],"presence":[80,91,110],"objecthood,":[82,94],"recognize":[84],"\u201cworld":[89],"revealing\u201d":[90],"phenomenological":[93],"experience":[97],"\u201cabsence":[99],"presence\u201d":[101],"\u201cphenomenal":[103],"unreality\u201d.":[104],"Here":[105],"propose":[107],"world-revealing":[109],"(objecthood)":[111],"depends":[112],"counterfactually":[114],"rich":[115],"models":[117],"are":[119,161],"necessarily":[120],"hierarchically":[121],"deep,":[122],"whereas":[123],"phenomenal":[124],"unreality":[125],"arises":[126],"when":[127],"fails":[130],"unmix":[132],"causes":[133],"\u201cin":[134],"world\u201d":[136],"from":[137],"those":[138],"depend":[140],"perceiver.":[143],"Finally,":[144],"return":[146],"control-oriented":[148],"setting":[153],"interoception,":[155],"where":[156],"most":[162],"closely":[163],"connected.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}