{"id":"https://openalex.org/W4315472123","doi":"https://doi.org/10.1109/icarcv57592.2022.10004260","title":"MathCLM: Mathematical Cognitive Learning Model Based on the Evolution of Knowledge Graph","display_name":"MathCLM: Mathematical Cognitive Learning Model Based on the Evolution of Knowledge Graph","publication_year":2022,"publication_date":"2022-12-11","ids":{"openalex":"https://openalex.org/W4315472123","doi":"https://doi.org/10.1109/icarcv57592.2022.10004260"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv57592.2022.10004260","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icarcv57592.2022.10004260","pdf_url":null,"source":{"id":"https://openalex.org/S4363608251","display_name":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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/A5088233793","display_name":"Gongqi Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gongqi Lin","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,China","University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101944494","display_name":"Xiuqin Zhong","orcid":"https://orcid.org/0000-0002-4772-4255"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuqin Zhong","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,China","University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103362331","display_name":"Hongguang Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongguang Fu","raw_affiliation_strings":["University of Electronic Science and Technology of China,Chengdu,China","University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088233793"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18665158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"616","last_page":"622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9923999905586243,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9923999905586243,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9886000156402588,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9721999764442444,"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/computer-science","display_name":"Computer science","score":0.784912109375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6379746794700623},{"id":"https://openalex.org/keywords/cognitive-architecture","display_name":"Cognitive architecture","score":0.6304627656936646},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5556254982948303},{"id":"https://openalex.org/keywords/axiom","display_name":"Axiom","score":0.5472367405891418},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4742668867111206},{"id":"https://openalex.org/keywords/cognitive-model","display_name":"Cognitive model","score":0.46362781524658203},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4610947370529175},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4502718150615692},{"id":"https://openalex.org/keywords/algorithmic-learning-theory","display_name":"Algorithmic learning theory","score":0.43263542652130127},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.41784530878067017},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2747228741645813},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.2197633683681488}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.784912109375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6379746794700623},{"id":"https://openalex.org/C20854674","wikidata":"https://www.wikidata.org/wiki/Q4386060","display_name":"Cognitive architecture","level":3,"score":0.6304627656936646},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5556254982948303},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.5472367405891418},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4742668867111206},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.46362781524658203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4610947370529175},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4502718150615692},{"id":"https://openalex.org/C32254414","wikidata":"https://www.wikidata.org/wiki/Q4724364","display_name":"Algorithmic learning theory","level":3,"score":0.43263542652130127},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.41784530878067017},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2747228741645813},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.2197633683681488},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv57592.2022.10004260","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icarcv57592.2022.10004260","pdf_url":null,"source":{"id":"https://openalex.org/S4363608251","display_name":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3576867915","display_name":null,"funder_award_id":"61876034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W831168156","https://openalex.org/W1608619800","https://openalex.org/W2022765573","https://openalex.org/W2146323032","https://openalex.org/W2160053845","https://openalex.org/W2770198835","https://openalex.org/W2792839191","https://openalex.org/W2794389864","https://openalex.org/W2895348292","https://openalex.org/W2914108393","https://openalex.org/W2942259124","https://openalex.org/W2949212908","https://openalex.org/W2955375648","https://openalex.org/W2962913831","https://openalex.org/W2964656262","https://openalex.org/W2970183140","https://openalex.org/W2970771982","https://openalex.org/W3037109418","https://openalex.org/W3089006046","https://openalex.org/W3093681740","https://openalex.org/W3098087397","https://openalex.org/W3158196282","https://openalex.org/W3167364369","https://openalex.org/W6678830454","https://openalex.org/W6762003241"],"related_works":["https://openalex.org/W2896490743","https://openalex.org/W2083305473","https://openalex.org/W2030860531","https://openalex.org/W2202819223","https://openalex.org/W2107952428","https://openalex.org/W1570300814","https://openalex.org/W2094121058","https://openalex.org/W2061031204","https://openalex.org/W1999623379","https://openalex.org/W2946052145"],"abstract_inverted_index":{"In":[0],"real-world":[1,182,202],"applications,":[2],"the":[3,74,113,119,136,157,178,181,185,190,193],"effective":[4],"integration":[5,21],"of":[6,31,76,163,177,192],"learning":[7,55,64,82,93,100,137,198],"and":[8,29,56,89,129,145,155,171,184,199],"reasoning":[9,200],"in":[10,91,201,207],"a":[11,16,25,61,151,167],"cognitive":[12,63,99],"agent":[13],"model":[14,154,179],"is":[15,51],"challenging":[17],"mission.":[18],"However,":[19],"such":[20,124],"may":[22],"lead":[23],"to":[24,85,117,169],"better":[26],"understanding,":[27],"practice,":[28],"construction":[30],"more":[32],"realistic":[33],"models,":[34],"especially":[35],"for":[36,53,79],"mathematical":[37,81,114,122],"learning.":[38],"Unfortunately,":[39],"existing":[40],"models":[41],"are":[42],"either":[43],"oversimplified":[44],"or":[45],"require":[46],"much":[47],"processing":[48,109],"time,":[49],"which":[50],"unsuitable":[52],"online":[54,80,92,197],"education.":[57],"Therefore,":[58],"we":[59],"propose":[60],"novel":[62],"model,":[65],"called":[66],"Mathematical":[67],"Cognitive":[68],"Learning":[69],"Model":[70],"(MathCLM)":[71],"based":[72,105,134],"on":[73,106,135,180],"evolution":[75],"knowledge":[77,103],"graph,":[78],"that":[83],"seeks":[84],"effectively":[86],"represent,":[87],"learn,":[88],"reason":[90],"environments.":[94],"The":[95,175],"model's":[96],"architecture":[97],"combines":[98],"with":[101,143,160,204],"symbolic":[102],"representation":[104],"natural":[107],"language":[108],"(NLP).":[110],"We":[111,165],"introduce":[112],"instance":[115],"concept":[116],"build":[118,166],"strategies":[120],"by":[121],"knowledge,":[123],"as":[125],"theorems,":[126],"axioms,":[127],"etc.,":[128],"infer":[130],"new":[131],"custom":[132],"instances":[133,148],"knowledge.":[138],"Furthermore,":[139],"it":[140],"can":[141],"deal":[142],"uncertainty":[144],"errors":[146],"from":[147],"recommendation":[149],"using":[150],"graph":[152],"matching":[153],"displays":[156],"inference":[158],"progressing":[159],"different":[161],"combinations":[162],"instances.":[164],"platform":[168,183],"promote":[170],"validate":[172],"our":[173],"model.":[174],"validation":[176],"results":[186],"presented":[187],"here":[188],"indicate":[189],"promise":[191],"approach":[194],"when":[195],"performing":[196],"scenarios,":[203],"possible":[205],"applications":[206],"various":[208],"areas.":[209]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}