{"id":"https://openalex.org/W8342981","doi":null,"title":"Learning Task Models for Collagen","display_name":"Learning Task Models for Collagen","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W8342981","mag":"8342981"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.36.3035","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.3035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.brandeis.edu/~aeg/papers/aaaifs00.ps","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"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/A5014127705","display_name":"Andrew Garland","orcid":"https://orcid.org/0000-0001-8649-0976","observed_orcids":["https://orcid.org/0000-0001-8649-0976"]},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]},{"id":"https://openalex.org/I4405253225","display_name":"Mitsubishi Electric Research Laboratories (United States)","ror":"https://ror.org/00e2e3n51","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4405253225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Garland","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories,"],"raw_orcid":"https://orcid.org/0000-0001-8649-0976","affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories,","institution_ids":["https://openalex.org/I4210159266","https://openalex.org/I4405253225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015301843","display_name":"Neal B. Lesh","orcid":"https://orcid.org/0000-0003-0027-3247","observed_orcids":["https://orcid.org/0000-0003-0027-3247"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neal Lesh","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-0027-3247","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001238648","display_name":"Charles Rich","orcid":"https://orcid.org/0000-0001-8892-3333","observed_orcids":["https://orcid.org/0000-0001-8892-3333"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Charles Rich","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8892-3333","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109401695","display_name":"Candace L. Sidner","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Candace L. Sidner","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7973,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7442119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9702000021934509,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9702000021934509,"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/T10470","display_name":"Usability and User Interface Design","score":0.007899999618530273,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/task-modeling","display_name":"task modeling","score":0.8820000290870667},{"id":"https://openalex.org/keywords/collagen","display_name":"collagen","score":0.5740000009536743},{"id":"https://openalex.org/keywords/groupware","display_name":"groupware","score":0.6970000267028809},{"id":"https://openalex.org/keywords/mixed-initiative-systems","display_name":"mixed-initiative systems","score":0.8840000033378601},{"id":"https://openalex.org/keywords/plan-representation","display_name":"plan representation","score":0.47600001096725464},{"id":"https://openalex.org/keywords/goal-representation","display_name":"goal representation","score":0.8190000057220459}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.780607283115387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7165671586990356},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6746283173561096},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6072210669517517},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6066541075706482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5453805327415466},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4307038187980652},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34794682264328003},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17299902439117432},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.09507507085800171},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08231097459793091},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.36.3035","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.3035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.brandeis.edu/~aeg/papers/aaaifs00.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.577.6216","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.577.6216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aaai.org/Papers/Symposia/Fall/2000/FS-00-02/FS00-02-005.pdf","raw_type":"text"},{"id":"mag:8342981","doi":null,"is_oa":false,"landing_page_url":"https://www.aaai.org/Papers/Symposia/Fall/2000/FS-00-02/FS00-02-005.pdf","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":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W123270197","https://openalex.org/W332028463","https://openalex.org/W1487479828","https://openalex.org/W1529518996","https://openalex.org/W1552721381","https://openalex.org/W2152316548"],"related_works":["https://openalex.org/W2912346577","https://openalex.org/W7096404820","https://openalex.org/W7098171093","https://openalex.org/W7097670523","https://openalex.org/W583714018","https://openalex.org/W2091676263","https://openalex.org/W2020002903","https://openalex.org/W3201465384","https://openalex.org/W2510381211","https://openalex.org/W6922537036"],"abstract_inverted_index":{"For":[0],"an":[1],"application-independent":[2],"collaborative":[3],"tool,":[4],"a":[5,11,16,21,31,63,72],"key":[6],"step":[7],"is":[8,20],"to":[9,29,53],"develop":[10],"detailed":[12],"task":[13,57],"model":[14],"for":[15,38,49],"particular":[17],"domain.":[18],"This":[19,43],"time":[22],"consuming":[23],"and":[24,27,41,55],"dicult":[25],"task,":[26],"seems":[28],"require":[30],"fairly":[32],"advanced":[33],"knowledge":[34],"of":[35],"AI":[36],"representations":[37],"plans,":[39],"goals,":[40],"recipes.":[42],"paper":[44],"discusses":[45],"some":[46],"preliminary":[47],"ideas":[48],"making":[50],"it":[51],"easier":[52],"construct":[54],"evolve":[56],"models,":[58],"either":[59],"through":[60,67],"interaction":[61],"with":[62],"human":[64],"domain":[65],"expert,":[66],"machine":[68],"learning,":[69],"or":[70],"in":[71],"mixed-initiative":[73],"system.":[74]},"counts_by_year":[],"updated_date":"2026-09-22T17:25:34.749102","created_date":"2016-06-24T00:00:00"}
