{"id":"https://openalex.org/W2775224638","doi":"https://doi.org/10.1109/sbr-lars-r.2017.8215309","title":"A hybrid approach to learn, retrieve and reuse qualitative cases","display_name":"A hybrid approach to learn, retrieve and reuse qualitative cases","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2775224638","doi":"https://doi.org/10.1109/sbr-lars-r.2017.8215309","mag":"2775224638"},"language":"en","primary_location":{"id":"doi:10.1109/sbr-lars-r.2017.8215309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbr-lars-r.2017.8215309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR)","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/A5075067827","display_name":"Thiago Pedro Donadon Homem","orcid":"https://orcid.org/0000-0003-2140-0129"},"institutions":[{"id":"https://openalex.org/I139221136","display_name":"Centro Universit\u00e1rio FEI","ror":"https://ror.org/007kf5222","country_code":"BR","type":"education","lineage":["https://openalex.org/I139221136"]},{"id":"https://openalex.org/I107371206","display_name":"Federal Institute of S\u00e3o Paulo","ror":"https://ror.org/005pn5z34","country_code":"BR","type":"education","lineage":["https://openalex.org/I107371206"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Thiago P. D. Homem","raw_affiliation_strings":["Federal Institute of S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil","University Center FEI, S\u00e3o Bernardo do Campo, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal Institute of S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil","institution_ids":["https://openalex.org/I107371206"]},{"raw_affiliation_string":"University Center FEI, S\u00e3o Bernardo do Campo, SP, Brazil","institution_ids":["https://openalex.org/I139221136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012588032","display_name":"Danilo H. Perico","orcid":"https://orcid.org/0000-0001-6887-9240"},"institutions":[{"id":"https://openalex.org/I139221136","display_name":"Centro Universit\u00e1rio FEI","ror":"https://ror.org/007kf5222","country_code":"BR","type":"education","lineage":["https://openalex.org/I139221136"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Danilo H. Perico","raw_affiliation_strings":["University Center FEI, S\u00e3o Bernardo do Campo, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"University Center FEI, S\u00e3o Bernardo do Campo, SP, Brazil","institution_ids":["https://openalex.org/I139221136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001663435","display_name":"Paulo E. Santos","orcid":"https://orcid.org/0000-0001-8484-0354"},"institutions":[{"id":"https://openalex.org/I139221136","display_name":"Centro Universit\u00e1rio FEI","ror":"https://ror.org/007kf5222","country_code":"BR","type":"education","lineage":["https://openalex.org/I139221136"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo E. Santos","raw_affiliation_strings":["University Center FEI, S\u00e3o Bernardo do Campo, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"University Center FEI, S\u00e3o Bernardo do Campo, SP, Brazil","institution_ids":["https://openalex.org/I139221136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069264027","display_name":"Anna Helena Reali Costa","orcid":"https://orcid.org/0000-0001-7309-4528"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Anna H. R. Costa","raw_affiliation_strings":["University of S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073156082","display_name":"Reinaldo A. C. Bianchi","orcid":"https://orcid.org/0000-0001-9097-827X"},"institutions":[{"id":"https://openalex.org/I4210131846","display_name":"Artificial Intelligence Research Institute","ror":"https://ror.org/03c0ach84","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210131846"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Reinaldo A. C. Bianchi","raw_affiliation_strings":["Artificial Intelligence Research Institute, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Institute, Barcelona, Spain","institution_ids":["https://openalex.org/I4210131846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074815589","display_name":"Ram\u00f3n L\u00f3pez de M\u00e1ntaras","orcid":"https://orcid.org/0000-0002-7392-0014"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramon Lopez de Mantaras","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5075067827"],"corresponding_institution_ids":["https://openalex.org/I107371206","https://openalex.org/I139221136"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64182475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"6"},"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":0.9993000030517578,"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":0.9993000030517578,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9959999918937683,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/reuse","display_name":"Reuse","score":0.7664836645126343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7391301393508911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7285693287849426},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6413921117782593},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.628600001335144},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6283294558525085},{"id":"https://openalex.org/keywords/qualitative-reasoning","display_name":"Qualitative reasoning","score":0.6135391592979431},{"id":"https://openalex.org/keywords/spatial-intelligence","display_name":"Spatial intelligence","score":0.5989851951599121},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.564944863319397},{"id":"https://openalex.org/keywords/credit-card-fraud","display_name":"Credit card fraud","score":0.5513454079627991},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5225672125816345},{"id":"https://openalex.org/keywords/case-based-reasoning","display_name":"Case-based reasoning","score":0.45122048258781433},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43756601214408875},{"id":"https://openalex.org/keywords/credit-card","display_name":"Credit card","score":0.22336578369140625},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1379387378692627},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.06820753216743469}],"concepts":[{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.7664836645126343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7391301393508911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7285693287849426},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6413921117782593},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.628600001335144},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6283294558525085},{"id":"https://openalex.org/C83725634","wikidata":"https://www.wikidata.org/wiki/Q7268699","display_name":"Qualitative reasoning","level":2,"score":0.6135391592979431},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.5989851951599121},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.564944863319397},{"id":"https://openalex.org/C2780747020","wikidata":"https://www.wikidata.org/wiki/Q83873","display_name":"Credit card fraud","level":4,"score":0.5513454079627991},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5225672125816345},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.45122048258781433},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43756601214408875},{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.22336578369140625},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1379387378692627},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.06820753216743469},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sbr-lars-r.2017.8215309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbr-lars-r.2017.8215309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR)","raw_type":"proceedings-article"},{"id":"pmh:oai:digital.csic.es:10261/162997","is_oa":false,"landing_page_url":"http://hdl.handle.net/10261/162997","pdf_url":null,"source":{"id":"https://openalex.org/S4306400616","display_name":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134820265","host_organization_name":"Consejo Superior de Investigaciones Cient\u00edficas","host_organization_lineage":["https://openalex.org/I134820265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"comunicaci\u00f3n de congreso"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W10379689","https://openalex.org/W1485179986","https://openalex.org/W1515851193","https://openalex.org/W1976099404","https://openalex.org/W2012679821","https://openalex.org/W2027562469","https://openalex.org/W2031677098","https://openalex.org/W2095182442","https://openalex.org/W2100726628","https://openalex.org/W2101155486","https://openalex.org/W2126385963","https://openalex.org/W2240909318","https://openalex.org/W2477022555","https://openalex.org/W2496972093","https://openalex.org/W2505707141","https://openalex.org/W2524979071","https://openalex.org/W2565773700","https://openalex.org/W2605061241","https://openalex.org/W2674634774","https://openalex.org/W2739657930","https://openalex.org/W2783162182","https://openalex.org/W4253206356","https://openalex.org/W6644165347","https://openalex.org/W6736177166"],"related_works":["https://openalex.org/W1593007803","https://openalex.org/W2153102768","https://openalex.org/W1871668702","https://openalex.org/W254583017","https://openalex.org/W1517957937","https://openalex.org/W1481371399","https://openalex.org/W2367213291","https://openalex.org/W97909638","https://openalex.org/W4239336857","https://openalex.org/W2124759987"],"abstract_inverted_index":{"The":[0],"application":[1],"of":[2],"Artificial":[3],"Intelligence":[4],"methods":[5,27],"is":[6],"becoming":[7],"indispensable":[8],"in":[9,14,29,91,100],"several":[10],"domains,":[11],"for":[12],"instance":[13],"credit":[15],"card":[16],"fraud":[17],"detection,":[18],"voice":[19],"recognition,":[20],"autonomous":[21],"cars":[22],"and":[23,35,59,73,87,104],"robotics.":[24],"However,":[25],"some":[26,33],"fail":[28],"performances":[30],"or":[31],"solving":[32],"problems,":[34],"hybrid":[36,53],"approaches":[37],"can":[38],"outperform":[39],"the":[40,92,101],"results":[41],"when":[42],"compared":[43],"to":[44,80,84],"traditional":[45],"ones.":[46],"In":[47],"this":[48],"paper":[49],"we":[50,105],"present":[51],"a":[52],"approach,":[54],"named":[55],"qualitative":[56,89],"case-based":[57],"reasoning":[58],"learning":[60],"(QCBRL),":[61],"that":[62],"integrates":[63],"three":[64],"well-known":[65],"AI":[66],"methods:":[67],"Qualitative":[68],"Spatial":[69],"Reasoning,":[70],"Case-Based":[71],"Reasoning":[72],"Reinforcement":[74],"Learning.":[75],"QCBRL":[76],"system":[77],"was":[78],"designed":[79],"allow":[81],"an":[82],"agent":[83],"learn,":[85],"retrieve":[86],"reuse":[88],"cases":[90],"robot":[93],"soccer":[94],"domain.":[95],"We":[96],"applied":[97],"our":[98],"method":[99],"Half-Field":[102],"Offense":[103],"have":[106],"obtained":[107],"promising":[108],"results.":[109]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}