{"id":"https://openalex.org/W2394747976","doi":"https://doi.org/10.26083/tuprints-00029995","title":"How does Bayesian reverse-engineering work?","display_name":"How does Bayesian reverse-engineering work?","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W2394747976","doi":"https://doi.org/10.26083/tuprints-00029995","mag":"2394747976"},"language":"en","primary_location":{"id":"pmh:oai:tuprints.ulb.tu-darmstadt.de:29995","doi":null,"is_oa":true,"landing_page_url":"http://tuprints.ulb.tu-darmstadt.de/view/person/Zednik=3ACarlos=3A=3A.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306401590","display_name":"Technischen Universit\u00e4t Darmstadt","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://tuprints.ulb.tu-darmstadt.de/view/person/Zednik=3ACarlos=3A=3A.html>","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087643182","display_name":"Carlos Zednik","orcid":"https://orcid.org/0000-0002-9702-7706","observed_orcids":["https://orcid.org/0000-0002-9702-7706"]},"institutions":[{"id":"https://openalex.org/I170658231","display_name":"Osnabr\u00fcck University","ror":"https://ror.org/04qmmjx98","country_code":"DE","type":"education","lineage":["https://openalex.org/I170658231"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zednik, Carlos","raw_affiliation_strings":["University of Osnabruck"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Osnabruck","institution_ids":["https://openalex.org/I170658231"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071328699","display_name":"Frank J\u00e4kel","orcid":"https://orcid.org/0000-0002-1355-7663","observed_orcids":["https://orcid.org/0000-0002-1355-7663"]},"institutions":[{"id":"https://openalex.org/I170658231","display_name":"Osnabr\u00fcck University","ror":"https://ror.org/04qmmjx98","country_code":"DE","type":"education","lineage":["https://openalex.org/I170658231"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00e4kel, Frank","raw_affiliation_strings":["University of Osnabruck"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Osnabruck","institution_ids":["https://openalex.org/I170658231"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170658231"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":6.138e-05,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":96},"biblio":{"volume":"36","issue":"36","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.6669999957084656,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.6669999957084656,"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/T11883","display_name":"Embodied and Extended Cognition","score":0.11400000005960464,"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/T14394","display_name":"Cognitive Science and Education Research","score":0.06289999932050705,"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/levels-of-analysis","display_name":"levels of analysis","score":0.7369999885559082},{"id":"https://openalex.org/keywords/computational-level","display_name":"computational level","score":0.6660000085830688},{"id":"https://openalex.org/keywords/algorithmic-level","display_name":"algorithmic level","score":0.9760000109672546},{"id":"https://openalex.org/keywords/implementation-level","display_name":"implementation level","score":0.9950000047683716},{"id":"https://openalex.org/keywords/cognitive-explanation","display_name":"cognitive explanation","score":0.3919999897480011},{"id":"https://openalex.org/keywords/pragmatic-constraints","display_name":"pragmatic constraints","score":0.7670000195503235},{"id":"https://openalex.org/keywords/testable-hypotheses","display_name":"testable hypotheses","score":0.8820000290870667},{"id":"https://openalex.org/keywords/cognitive-modeling","display_name":"cognitive modeling","score":0.5619999766349792}],"concepts":[{"id":"https://openalex.org/C207850805","wikidata":"https://www.wikidata.org/wiki/Q269608","display_name":"Reverse engineering","level":2,"score":0.7141296863555908},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.7130967378616333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6837740540504456},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.5515008568763733},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.5277398824691772},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.47911858558654785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44059547781944275},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4235667586326599},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08651739358901978}],"mesh":[],"locations_count":7,"locations":[{"id":"pmh:oai:tuprints.ulb.tu-darmstadt.de:29995","doi":null,"is_oa":true,"landing_page_url":"http://tuprints.ulb.tu-darmstadt.de/view/person/Zednik=3ACarlos=3A=3A.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306401590","display_name":"Technischen Universit\u00e4t Darmstadt","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt61s9n028","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/61s9n028","pdf_url":"https://escholarship.org/uc/item/61s9n028","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the Annual Meeting of the Cognitive Science Society, vol 36, iss 36","raw_type":"article"},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:106100","doi":null,"is_oa":true,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/view/person/Zednik=3ACarlos=3A=3A.html>","pdf_url":"http://tubiblio.ulb.tu-darmstadt.de/106100/","source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Konferenzver\u00f6ffentlichung"},{"id":"pmh:qt61s9n028","doi":null,"is_oa":true,"landing_page_url":"http://www.escholarship.org/uc/item/61s9n028","pdf_url":"http://www.escholarship.org/uc/item/61s9n028","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zednik, Carlos; & Jakel, Frank. (2014). How does Bayesian reverse-engineering work?. Proceedings of the Cognitive Science Society, 36(36). Retrieved from: http://www.escholarship.org/uc/item/61s9n028","raw_type":"article"},{"id":"pmh:oai:tuprints.ulb.tu-darmstadt.de:tuda/13747","doi":null,"is_oa":false,"landing_page_url":"https://doi.org/10.26083/tuprints-00029995","pdf_url":null,"source":{"id":"https://openalex.org/S4306401590","display_name":"Technischen Universit\u00e4t Darmstadt","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference_item"},{"id":"doi:10.26083/tuprints-00029995","doi":"https://doi.org/10.26083/tuprints-00029995","is_oa":true,"landing_page_url":"https://doi.org/10.26083/tuprints-00029995","pdf_url":null,"source":{"id":"https://openalex.org/S4306401590","display_name":"Technischen Universit\u00e4t Darmstadt","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2394747976","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/content/qt61s9n028/qt61s9n028.pdf?t=op9xyu","pdf_url":null,"source":{"id":"https://openalex.org/S78735424","display_name":"Cognitive Science","issn_l":"0364-0213","issn":["0364-0213","1551-6709"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","erih-plus","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Cognitive Science","raw_type":null}],"best_oa_location":{"id":"pmh:oai:tuprints.ulb.tu-darmstadt.de:29995","doi":null,"is_oa":true,"landing_page_url":"http://tuprints.ulb.tu-darmstadt.de/view/person/Zednik=3ACarlos=3A=3A.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306401590","display_name":"Technischen Universit\u00e4t Darmstadt","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2394747976.pdf","grobid_xml":"https://content.openalex.org/works/W2394747976.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W25958463","https://openalex.org/W1969090956","https://openalex.org/W2018528947","https://openalex.org/W2037616194","https://openalex.org/W2050878336","https://openalex.org/W2077586206","https://openalex.org/W2092919341","https://openalex.org/W2098600950","https://openalex.org/W2106145030","https://openalex.org/W2117986074","https://openalex.org/W2118354656","https://openalex.org/W2132003317","https://openalex.org/W2133877521","https://openalex.org/W2147565549","https://openalex.org/W2154164802","https://openalex.org/W2167956961","https://openalex.org/W2171521317"],"related_works":["https://openalex.org/W2489662192","https://openalex.org/W1880553177","https://openalex.org/W7017617858","https://openalex.org/W179152500","https://openalex.org/W7213396968","https://openalex.org/W7159675996","https://openalex.org/W6922075978","https://openalex.org/W2605084979","https://openalex.org/W1978775017","https://openalex.org/W4200601889"],"abstract_inverted_index":{"Bayesian":[0,37,58,68],"models":[1,38,69],"of":[2,23,45,57,81],"cognition":[3],"and":[4,28,40,52,60,87],"behavior":[5],"are":[6,11],"particularly":[7],"promising":[8],"when":[9],"they":[10],"used":[12],"in":[13],"reverse-engineering":[14],"explanations:":[15],"explanations":[16],"that":[17,77],"descend":[18],"from":[19],"the":[20,26,71,79,85],"computational":[21,72],"level":[22,73],"analysis":[24],"to":[25,66],"algorithmic":[27,86],"implementation":[29,88],"levels.":[30,89],"Unfortunately,":[31],"it":[32],"remains":[33],"unclear":[34],"exactly":[35],"how":[36],"constrain":[39],"influence":[41],"these":[42],"lower":[43],"levels":[44],"analysis.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"review":[51],"reject":[53],"two":[54],"widespread":[55],"views":[56],"reverse-engineering,":[59],"propose":[61],"an":[62],"alternative":[63],"view":[64],"according":[65],"which":[67],"at":[70,84],"impose":[74],"pragmatic":[75],"constraints":[76],"facilitate":[78],"generation":[80],"testable":[82],"hypotheses":[83]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}