{"id":"https://openalex.org/W2132622103","doi":"https://doi.org/10.1080/088395197118109","title":"Learn sesame a learning agent engine","display_name":"Learn sesame a learning agent engine","publication_year":1997,"publication_date":"1997-07-01","ids":{"openalex":"https://openalex.org/W2132622103","doi":"https://doi.org/10.1080/088395197118109","mag":"2132622103"},"language":"en","primary_location":{"id":"doi:10.1080/088395197118109","is_oa":true,"landing_page_url":"https://doi.org/10.1080/088395197118109","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/088395197118109?needAccess=true&role=button","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/088395197118109?needAccess=true&role=button","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075202100","display_name":"Alper \u00c7a\u011flayan","orcid":"https://orcid.org/0000-0001-6884-489X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Alper Caglayan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032832083","display_name":"Magn\u00fas Snorrason","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Magnus Snorrason","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073610641","display_name":"J.Z. Jacoby","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jennifer Jacoby","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073772270","display_name":"James M. Mazzu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James Mazzu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056661264","display_name":"R ichard D. Jones","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robin Jones","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5112838365","display_name":"Krishna Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krishna Kumar","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5075202100"],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":2.4151,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.90299129,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"11","issue":"5","first_page":"393","last_page":"412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9987999796867371,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9987999796867371,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9836999773979187,"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8368557095527649},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5773454904556274},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4064404368400574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8368557095527649},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5773454904556274},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4064404368400574},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/088395197118109","is_oa":true,"landing_page_url":"https://doi.org/10.1080/088395197118109","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/088395197118109?needAccess=true&role=button","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.385.8388","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.8388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://techlab.bu.edu/files/resources/articles_tt/Caglayan__Learn_Sesame_a_Learning_Agent_Engine.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.42.890","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cra.com/publications/papers/AAI97_LearnSesame.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1080/088395197118109","is_oa":true,"landing_page_url":"https://doi.org/10.1080/088395197118109","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/088395197118109?needAccess=true&role=button","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2132622103.pdf","grobid_xml":"https://content.openalex.org/works/W2132622103.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1546823699","https://openalex.org/W1622012679","https://openalex.org/W1991770581","https://openalex.org/W2152894914","https://openalex.org/W2156897926","https://openalex.org/W2245512290","https://openalex.org/W2804492372"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"Open":[0,54,104],"Sesame!":[1,55,105],"1.0---released":[2],"in":[3],"1993---was":[4],"the":[5,35,41,49,75,90,101,138,150,153],"world&amp;apos;s":[6],"first":[7],"commercial":[8],"user":[9],"interface":[10],"(UI)":[11],"learning":[12,111,122,155],"agent.":[13],"The":[14],"development":[15],"of":[16,22,38,46,63,67,78,93,137,146,152],"this":[17,131],"agent":[18,39,123,156],"involved":[19],"a":[20,60,109,135],"number":[21],"decisions":[23],"about":[24],"basic":[25],"design":[26,69,102,148],"issues":[27],"that":[28,116],"had":[29],"not":[30,84],"been":[31,72],"previously":[32],"addressed,":[33],"including":[34],"expected":[36],"types":[37],"and":[40,44,107],"preferred":[42],"form":[43],"frequency":[45],"interaction.":[47],"In":[48,130],"two":[50],"years":[51],"after":[52],"shipping":[53],"1.0,":[56],"we":[57,95,133],"have":[58,71],"compiled":[59],"rich":[61],"database":[62],"customer":[64,142],"feedback.":[65],"Many":[66],"our":[68,79],"choices":[70],"validated":[73],"by":[74],"general":[76],"approval":[77],"customers":[80],"while":[81],"some":[82],"were":[83,96],"received":[85],"as":[86],"favorably.":[87],"Thanks":[88],"to":[89,98,120,125],"overwhelming":[91],"amount":[92],"feedback,":[94,143],"able":[97],"substantially":[99],"improve":[100],"for":[103],"2.0,":[106],"develop":[108],"cross-platform":[110],"engine":[112],"-":[113],"Learn":[114],"Sesame-":[115],"can":[117],"be":[118],"used":[119],"add":[121],"functionality":[124],"any":[126],"third":[127],"party":[128],"application.":[129],"paper,":[132],"present":[134],"summary":[136],"lessons":[139],"learned":[140],"from":[141],"an":[144],"outline":[145],"resulting":[147],"changes,":[149],"details":[151],"developed":[154],"engine...":[157]},"counts_by_year":[{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
