{"id":"https://openalex.org/W2591015586","doi":"https://doi.org/10.1109/icci-cc.2016.7862015","title":"Experiments on the supervised learning algorithm for formal concept elicitation by cognitive robots","display_name":"Experiments on the supervised learning algorithm for formal concept elicitation by cognitive robots","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2591015586","doi":"https://doi.org/10.1109/icci-cc.2016.7862015","mag":"2591015586"},"language":"en","primary_location":{"id":"doi:10.1109/icci-cc.2016.7862015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2016.7862015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5051826538","display_name":"Omar A. Zatarain","orcid":"https://orcid.org/0000-0002-7934-7765"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Omar A. Zatarain","raw_affiliation_strings":["Laboratory for Computational Intelligence Denotational Mathematics, and Software Science, International Institute of Cognitive Informatics and Cognitive Computing (ICIC), Schulich School of Engineering and Hotchkiss Brain Institute University of Calgary, Calgary, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Laboratory for Computational Intelligence Denotational Mathematics, and Software Science, International Institute of Cognitive Informatics and Cognitive Computing (ICIC), Schulich School of Engineering and Hotchkiss Brain Institute University of Calgary, Calgary, Alberta, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012322217","display_name":"Yingxu Wang","orcid":"https://orcid.org/0000-0003-0445-3632"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Yingxu Wang","raw_affiliation_strings":["Information Systems Lab, Stanford University, Stanford, CA, USA","Laboratory for Computational Intelligence Denotational Mathematics, and Software Science, International Institute of Cognitive Informatics and Cognitive Computing (ICIC), Schulich School of Engineering and Hotchkiss Brain Institute University of Calgary, Calgary, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Information Systems Lab, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Laboratory for Computational Intelligence Denotational Mathematics, and Software Science, International Institute of Cognitive Informatics and Cognitive Computing (ICIC), Schulich School of Engineering and Hotchkiss Brain Institute University of Calgary, Calgary, Alberta, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051826538"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":4.2847,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.95097458,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"14","issue":null,"first_page":"86","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.9995999932289124,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.9995999932289124,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9679999947547913,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7770795822143555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6624881625175476},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5520909428596497},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.46133100986480713},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44935843348503113},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4458308815956116},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.44497808814048767},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35646986961364746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7770795822143555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6624881625175476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5520909428596497},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.46133100986480713},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44935843348503113},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4458308815956116},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.44497808814048767},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35646986961364746},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icci-cc.2016.7862015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2016.7862015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W32002537","https://openalex.org/W1483241283","https://openalex.org/W1524157153","https://openalex.org/W1560374531","https://openalex.org/W1857967814","https://openalex.org/W1977983630","https://openalex.org/W1980080444","https://openalex.org/W1995875735","https://openalex.org/W1998950365","https://openalex.org/W2027732084","https://openalex.org/W2027970408","https://openalex.org/W2046241767","https://openalex.org/W2049592515","https://openalex.org/W2052788054","https://openalex.org/W2074882259","https://openalex.org/W2081580037","https://openalex.org/W2084294763","https://openalex.org/W2124479173","https://openalex.org/W2149017759","https://openalex.org/W2305540842","https://openalex.org/W2315788772","https://openalex.org/W2315821481","https://openalex.org/W2326047103","https://openalex.org/W2326883956","https://openalex.org/W2483511299","https://openalex.org/W2507722096","https://openalex.org/W2590177913","https://openalex.org/W2590248958","https://openalex.org/W2746346302","https://openalex.org/W4240872414"],"related_works":["https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W2106071040","https://openalex.org/W4312133475","https://openalex.org/W4238976562","https://openalex.org/W2276587472","https://openalex.org/W4248323080","https://openalex.org/W2615795876","https://openalex.org/W4206785888"],"abstract_inverted_index":{"Concept":[0,87],"elicitation":[1,41],"is":[2,80,109],"a":[3,33,77,98],"fundamental":[4],"methodology":[5,38],"for":[6,39,76,96],"knowledge":[7,36,117,125,141],"extraction":[8],"and":[9,27,59,151],"representation":[10],"in":[11,45,68,90,115,118,143,145],"cognitive":[12,78,107,124],"robot":[13,79,108],"learning.":[14],"Traditional":[15],"machine":[16,35,94],"learning":[17,37,95],"technologies":[18],"deal":[19],"with":[20],"object":[21],"identification,":[22],"cluster":[23],"classification,":[24],"functional":[25],"regression,":[26],"behavior":[28],"acquisition.":[29],"This":[30],"paper":[31],"presents":[32],"supervised":[34],"concept":[40,74],"from":[42,65],"sample":[43],"dictionaries":[44,144],"natural":[46],"languages.":[47],"Formal":[48],"concepts":[49,103,114,131],"are":[50],"autonomously":[51],"generated":[52],"based":[53],"on":[54,93],"collective":[55,60],"intention":[56],"of":[57,62,72,85,100,129,147],"attributes":[58],"extension":[61],"objects":[63],"elicited":[64],"informal":[66],"definitions":[67],"dictionaries.":[69],"A":[70],"system":[71],"formal":[73,102],"generation":[75],"implemented":[81],"by":[82],"the":[83,106,134],"Algorithm":[84],"Machine":[86],"Elicitation":[88],"(AMCE)":[89],"MATLAB.":[91],"Experiments":[92],"creating":[97],"set":[99],"twenty":[101],"reveal":[104],"that":[105,133],"able":[110],"to":[111,120],"learn":[112],"synergized":[113],"human":[116,140],"order":[119],"build":[121],"its":[122],"own":[123],"base.":[126],"The":[127],"results":[128],"machine-generated":[130],"demonstrate":[132],"AMCE":[135],"algorithm":[136],"can":[137],"over":[138],"perform":[139],"expressions":[142],"terms":[146],"relevance,":[148],"accuracy,":[149],"quantitativeness,":[150],"cohesiveness.":[152]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}