{"id":"https://openalex.org/W2396966880","doi":null,"title":"Effects of Temporal and Causal Schemas on Probability Problem Solving","display_name":"Effects of Temporal and Causal Schemas on Probability Problem Solving","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2396966880","mag":"2396966880"},"language":"en","primary_location":{"id":"pmh:oai:escholarship.org/ark:/13030/qt6jn7c43s","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/6jn7c43s","pdf_url":"https://escholarship.org/uc/item/6jn7c43s","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"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://escholarship.org/uc/item/6jn7c43s","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006074020","display_name":"Saranda Sonia Gugga","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saranda Sonia Gugga","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5039821435","display_name":"James E. Corter","orcid":"https://orcid.org/0000-0002-5415-8669","observed_orcids":["https://orcid.org/0000-0002-5415-8669"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James E. Corter","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5415-8669","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5957,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72722054,"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":0.7324000000953674,"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":0.7324000000953674,"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/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.09489999711513519,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.057100001722574234,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/conditional-probability","display_name":"conditional probability","score":0.8309999704360962},{"id":"https://openalex.org/keywords/probability-problem-solving","display_name":"probability problem solving","score":0.765999972820282},{"id":"https://openalex.org/keywords/causal-asymmetry","display_name":"causal asymmetry","score":0.8999999761581421},{"id":"https://openalex.org/keywords/judgment-bias","display_name":"judgment bias","score":0.5910000205039978},{"id":"https://openalex.org/keywords/diagnostic-inference","display_name":"diagnostic inference","score":0.41100001335144043},{"id":"https://openalex.org/keywords/predictive-inference","display_name":"predictive inference","score":0.9290000200271606},{"id":"https://openalex.org/keywords/order-of-events","display_name":"order of events","score":0.5049999952316284},{"id":"https://openalex.org/keywords/bayesian-reasoning","display_name":"Bayesian reasoning","score":0.33500000834465027}],"concepts":[{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.7080690860748291},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.4924822747707367},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.48354482650756836},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.47965553402900696},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4605177640914917},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3927898406982422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.351016640663147},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2111228108406067},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19085904955863953},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18785330653190613},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15220516920089722},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:escholarship.org/ark:/13030/qt6jn7c43s","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/6jn7c43s","pdf_url":"https://escholarship.org/uc/item/6jn7c43s","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:qt6jn7c43s","doi":null,"is_oa":true,"landing_page_url":"http://www.escholarship.org/uc/item/6jn7c43s","pdf_url":"http://www.escholarship.org/uc/item/6jn7c43s","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":"Gugga, S. Sonia; &amp; Corter, James E.(2014). Effects of Temporal and Causal Schemas on Probability Problem Solving. Proceedings of the Cognitive Science Society, 36(36). Retrieved from: http://www.escholarship.org/uc/item/6jn7c43s","raw_type":"article"},{"id":"mag:2396966880","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/content/qt6jn7c43s/qt6jn7c43s.pdf?t=op9xld","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:escholarship.org/ark:/13030/qt6jn7c43s","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/6jn7c43s","pdf_url":"https://escholarship.org/uc/item/6jn7c43s","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"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2396966880.pdf","grobid_xml":"https://content.openalex.org/works/W2396966880.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W110508334","https://openalex.org/W132620350","https://openalex.org/W148904949","https://openalex.org/W158727920","https://openalex.org/W403636135","https://openalex.org/W1670538066","https://openalex.org/W1977167541","https://openalex.org/W1980534953","https://openalex.org/W1989930562","https://openalex.org/W1992102517","https://openalex.org/W1998765864","https://openalex.org/W2000020549","https://openalex.org/W2003045494","https://openalex.org/W2025686518","https://openalex.org/W2026941875","https://openalex.org/W2044044384","https://openalex.org/W2069510752","https://openalex.org/W2069792529","https://openalex.org/W2083828611","https://openalex.org/W2090489987","https://openalex.org/W2095291318","https://openalex.org/W2101194139","https://openalex.org/W2121001250","https://openalex.org/W2121874913","https://openalex.org/W2139185251","https://openalex.org/W2141956557","https://openalex.org/W2153817134","https://openalex.org/W2158553842","https://openalex.org/W2162829624","https://openalex.org/W2186512589","https://openalex.org/W2312281472","https://openalex.org/W2331302018"],"related_works":["https://openalex.org/W2119330977","https://openalex.org/W1975889353","https://openalex.org/W2003045494","https://openalex.org/W4253193444","https://openalex.org/W2399020367","https://openalex.org/W1496687497","https://openalex.org/W1994904988","https://openalex.org/W2048856981","https://openalex.org/W2156503840","https://openalex.org/W165880022"],"abstract_inverted_index":{"Causal":[0],"beliefs":[1],"have":[2],"been":[3],"shown":[4],"to":[5,33,115],"affect":[6,58],"performance":[7],"in":[8,77,86,121,129,145,156,163],"a":[9],"wide":[10],"variety":[11],"of":[12,18,52,60,66,89,118,137,161],"reasoning":[13],"and":[14,74,99],"problem":[15],"solving.One":[16],"type":[17],"judgment":[19],"bias":[20],"that":[21,82,102,124],"can":[22,56],"result":[23],"from":[24],"implicit":[25,53],"causal":[26,29,54,75],"models":[27,55],"is":[28,81],"asymmetry":[30],"--the":[31],"tendency":[32],"judge":[34],"predictive":[35],"inferences":[36],"as":[37],"more":[38],"plausible":[39],"than":[40,159],"comparable":[41],"diagnostic":[42],"inferences.In":[43],"the":[44,50,64,79,116,127,135,164],"present":[45],"study":[46,71],"we":[47],"investigate":[48],"if":[49],"directionality":[51],"also":[57],"application":[59],"formal":[61],"methods,":[62],"specifically":[63],"solution":[65],"conditional":[67,90],"probability":[68,91],"word":[69],"problems.The":[70],"examined":[72],"temporal":[73],"schemas,":[76],"which":[78],"convention":[80],"events":[83,97,119,155,162],"are":[84],"considered":[85],"forward":[87],"direction.Pairs":[88],"(CP)":[92],"problems":[93],"were":[94,111],"written":[95],"depicting":[96],"E1":[98,103,138],"E2,":[100],"such":[101],"either":[104],"occurs":[105],"before":[106,139],"E2":[107],"or":[108],"causes":[109],"E2.Problems":[110],"defined":[112],"with":[113],"respect":[114],"order":[117,132,158],"expressed":[120],"CPs,":[122],"so":[123],"P(E2|E1)":[125],"represents":[126,143],"CP":[128,144,153,160],"schema-consistent,":[130],"intact":[131],"by":[133],"considering":[134],"occurrence":[136],"E2;":[140],"while":[141],"P(E1|E2)":[142],"schemainconsistent,":[146],"inverted":[147],"order.Participants":[148],"had":[149],"greater":[150],"difficulty":[151],"encoding":[152],"for":[154],"schema-inconsistent":[157],"conventional":[165],"deterministic":[166],"order.":[167]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-09-01T08:31:24.195828","created_date":"2016-06-24T00:00:00"}
