{"id":"https://openalex.org/W2136661261","doi":"https://doi.org/10.1109/fuzzy.2008.4630652","title":"Beliefs learning in fuzzy constraint-directed agent negotiation","display_name":"Beliefs learning in fuzzy constraint-directed agent negotiation","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2136661261","doi":"https://doi.org/10.1109/fuzzy.2008.4630652","mag":"2136661261"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2008.4630652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5067020056","display_name":"Ting-Jung Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ting-Jung Yu","raw_affiliation_strings":["Department of Computer Science & Engineering, Yuan Ze University, Chung-Li, Taiwan 32003","Department of Computer Science & Engineering, Yuan Ze University, Chungli, Chung-Li, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Yuan Ze University, Chung-Li, Taiwan 32003","institution_ids":["https://openalex.org/I99908691"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, Yuan Ze University, Chungli, Chung-Li, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044292096","display_name":"K. Robert Lai","orcid":"https://orcid.org/0000-0002-3365-3927"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"K. Robert Lai","raw_affiliation_strings":["Dept. of Comput. Sci. & Eng., Yuan Ze Univ., Chungli","Department of Computer Science & Engineering, Yuan Ze University, Chung-Li, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Yuan Ze Univ., Chungli","institution_ids":["https://openalex.org/I99908691"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, Yuan Ze University, Chung-Li, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047461400","display_name":"Baw\u2010Jhiune Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Baw-Jhiune Liu","raw_affiliation_strings":["Department of Computer Science & Engineering, Yuan Ze University, Chung-Li, Taiwan 32003","Department of Computer Science & Engineering, Yuan Ze University, Chungli, Chung-Li, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Yuan Ze University, Chung-Li, Taiwan 32003","institution_ids":["https://openalex.org/I99908691"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, Yuan Ze University, Chungli, Chung-Li, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18656516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2052","last_page":"2057"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9998000264167786,"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":0.9998000264167786,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.996999979019165,"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":0.9959999918937683,"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.7058818340301514},{"id":"https://openalex.org/keywords/negotiation","display_name":"Negotiation","score":0.6730374097824097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.662502646446228},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6282111406326294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6207877397537231},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6136223673820496},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4419620633125305},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4239000082015991},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3294471204280853},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16757410764694214}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.7058818340301514},{"id":"https://openalex.org/C199776023","wikidata":"https://www.wikidata.org/wiki/Q202875","display_name":"Negotiation","level":2,"score":0.6730374097824097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.662502646446228},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6282111406326294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6207877397537231},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6136223673820496},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4419620633125305},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4239000082015991},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3294471204280853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16757410764694214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2008.4630652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W12384112","https://openalex.org/W157593226","https://openalex.org/W564093072","https://openalex.org/W1574410118","https://openalex.org/W1593604466","https://openalex.org/W1968093658","https://openalex.org/W1971173632","https://openalex.org/W1994365831","https://openalex.org/W2002341352","https://openalex.org/W2006198267","https://openalex.org/W2034193154","https://openalex.org/W2078435329","https://openalex.org/W2095205263","https://openalex.org/W2110872636","https://openalex.org/W2120327309","https://openalex.org/W2121353282","https://openalex.org/W2162232290","https://openalex.org/W2169792277","https://openalex.org/W2520517637"],"related_works":["https://openalex.org/W2069705450","https://openalex.org/W2322802588","https://openalex.org/W2401058949","https://openalex.org/W4230237643","https://openalex.org/W2991784296","https://openalex.org/W2007820812","https://openalex.org/W2030457343","https://openalex.org/W1819545986","https://openalex.org/W2012138520","https://openalex.org/W2162427105"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,64,77,82],"belief":[4],"learning":[5],"model":[6,18],"for":[7,24,46,75],"fuzzy":[8,21,42],"constraint-directed":[9],"agent":[10],"negotiation.":[11],"The":[12],"main":[13],"features":[14],"of":[15,31],"the":[16,26,29,36,48,55,59,89],"proposed":[17,90],"include:":[19],"1)":[20],"probability":[22],"constraints":[23],"increasing":[25],"efficiency":[27],"on":[28,67],"convergence":[30],"behavior":[32],"patterns,":[33],"and":[34,57,71],"eliminating":[35],"noisy":[37],"hypotheses":[38],"or":[39],"beliefs,":[40],"2)":[41],"instance":[43],"matching":[44],"method":[45],"reusing":[47],"prior":[49],"opponent":[50,69],"knowledge":[51],"to":[52,62,80],"speed":[53],"up":[54],"problem-solving,":[56],"inferring":[58],"proximate":[60],"regularities":[61],"acquire":[63],"desirable":[65,83],"result":[66],"forecasting":[68],"behavior,":[70],"3)":[72],"adaptive":[73],"interaction":[74],"making":[76],"dynamic":[78],"concession":[79],"fulfill":[81],"objective.":[84],"Experimental":[85],"results":[86],"suggest":[87],"that":[88],"framework":[91],"can":[92],"improve":[93],"both":[94],"negotiation":[95],"qualities.":[96]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}