{"id":"https://openalex.org/W2108216946","doi":null,"title":"Bayesian Models of Inductive Generalization","display_name":"Bayesian Models of Inductive Generalization","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W2108216946","mag":"2108216946"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.58.3057","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.3057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"http://books.nips.cc/papers/files/nips15/CS08.ps.gz","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016855642","display_name":"Neville E. Sanjana","orcid":"https://orcid.org/0000-0002-1504-0027","observed_orcids":["https://orcid.org/0000-0002-1504-0027"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neville E. Sanjana","raw_affiliation_strings":["Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA"],"raw_orcid":"https://orcid.org/0000-0002-1504-0027","affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071093940","display_name":"Joshua B. Tenenbaum","orcid":"https://orcid.org/0000-0002-1925-2035","observed_orcids":["https://orcid.org/0000-0002-1925-2035"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua B. Tenenbaum","raw_affiliation_strings":["Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA"],"raw_orcid":"https://orcid.org/0000-0002-1925-2035","affiliations":[{"raw_affiliation_string":"Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":2.8662,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.90757282,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":null,"first_page":"59","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12694","display_name":"Categorization, perception, and language","score":0.6333000063896179,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12694","display_name":"Categorization, perception, and language","score":0.6333000063896179,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.3359000086784363,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14394","display_name":"Cognitive Science and Education Research","score":0.003000000026077032,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inductive-generalization","display_name":"inductive generalization","score":0.9459999799728394},{"id":"https://openalex.org/keywords/similarity-based-models","display_name":"similarity-based models","score":0.5550000071525574},{"id":"https://openalex.org/keywords/inductive-reasoning","display_name":"inductive reasoning","score":0.7080000042915344},{"id":"https://openalex.org/keywords/overgeneralization","display_name":"overgeneralization","score":0.6959999799728394},{"id":"https://openalex.org/keywords/undergeneralization","display_name":"undergeneralization","score":0.8270000219345093},{"id":"https://openalex.org/keywords/human-learning","display_name":"human learning","score":0.3529999852180481}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.8513808250427246},{"id":"https://openalex.org/C78469957","wikidata":"https://www.wikidata.org/wiki/Q838062","display_name":"occam","level":2,"score":0.8003912568092346},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7391165494918823},{"id":"https://openalex.org/C197352929","wikidata":"https://www.wikidata.org/wiki/Q1074074","display_name":"Inductive bias","level":4,"score":0.735348105430603},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.672700047492981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6723844408988953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6628721356391907},{"id":"https://openalex.org/C21563000","wikidata":"https://www.wikidata.org/wiki/Q484511","display_name":"Inductive reasoning","level":2,"score":0.5890770554542542},{"id":"https://openalex.org/C64802038","wikidata":"https://www.wikidata.org/wiki/Q131012","display_name":"Occam's razor","level":2,"score":0.5726107358932495},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5614409446716309},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.505615234375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25327637791633606},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.18596985936164856},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07390773296356201},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.58.3057","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.3057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"http://books.nips.cc/papers/files/nips15/CS08.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.71.108","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.71.108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"http://books.nips.cc/papers/files/nips15/CS08.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.8.1020","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.1020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"http://www-psych.stanford.edu/~jbt/nips02-induction-in-press.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.891.8091","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.891.8091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"http://papers.nips.cc/paper/2284-bayesian-models-of-inductive-generalization.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.141.6560","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.6560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.mit.edu/cocosci/Papers/neville_nips02_revised_7192002.pdf","raw_type":"text"},{"id":"mag:2108216946","doi":null,"is_oa":false,"landing_page_url":"https://papers.nips.cc/paper/2284-bayesian-models-of-inductive-generalization.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Neural Information Processing Systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1582937231","https://openalex.org/W1983578042","https://openalex.org/W2027994268","https://openalex.org/W2119084537","https://openalex.org/W2138138984","https://openalex.org/W2164797238","https://openalex.org/W2567812574","https://openalex.org/W2766324327","https://openalex.org/W2799061466"],"related_works":["https://openalex.org/W2164797238","https://openalex.org/W2027994268","https://openalex.org/W2027796863","https://openalex.org/W2141102191","https://openalex.org/W2134145060","https://openalex.org/W1976323611","https://openalex.org/W2016429292","https://openalex.org/W2153062702","https://openalex.org/W2131420021","https://openalex.org/W2767748955","https://openalex.org/W2161886519","https://openalex.org/W2114826854","https://openalex.org/W2114237651","https://openalex.org/W2109166628","https://openalex.org/W2059975159","https://openalex.org/W1594369375","https://openalex.org/W2170850648","https://openalex.org/W1523817461","https://openalex.org/W101840878","https://openalex.org/W2984462795"],"abstract_inverted_index":{"We":[0,22,66],"argue":[1],"that":[2,51,85],"human":[3],"inductive":[4,73],"generalization":[5],"is":[6],"best":[7],"explained":[8],"in":[9,62],"a":[10,44,81],"Bayesian":[11,28,48],"framework,":[12],"rather":[13],"than":[14],"by":[15,31],"traditional":[16],"models":[17],"based":[18],"on":[19,27,72],"simi-larity":[20],"computations.":[21],"go":[23],"beyond":[24],"previous":[25],"work":[26],"concept":[29],"learning":[30],"introducing":[32],"an":[33],"unsupervised":[34],"method":[35],"for":[36],"constructing":[37],"flex-ible":[38],"hypothesis":[39],"spaces,":[40],"and":[41,55],"we":[42,86],"propose":[43],"version":[45],"of":[46,80],"the":[47,78],"Oc-cam\u2019s":[49],"razor":[50],"trades":[52],"off":[53],"priors":[54],"likelihoods":[56],"to":[57],"prevent":[58],"under-":[59],"or":[60],"over-generalization":[61],"these":[63],"flexible":[64],"spaces.":[65],"analyze":[67],"two":[68],"published":[69],"data":[70],"sets":[71],"reasoning":[74],"as":[75,77],"well":[76],"results":[79],"new":[82],"behavioral":[83],"study":[84],"have":[87],"carried":[88],"out.":[89],"1":[90]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2025-10-10T00:00:00"}