{"id":"https://openalex.org/W4392811802","doi":"https://doi.org/10.1007/978-3-031-55326-4_15","title":"Effective Adaptive Strategy Selection Using Extended Fine-Tuning and\u00a0CNN-Based Surrogate Model in\u00a0Repeated-Encounter Bilateral Automated Negotiation","display_name":"Effective Adaptive Strategy Selection Using Extended Fine-Tuning and\u00a0CNN-Based Surrogate Model in\u00a0Repeated-Encounter Bilateral Automated Negotiation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392811802","doi":"https://doi.org/10.1007/978-3-031-55326-4_15"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-55326-4_15","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-55326-4_15","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5051781990","display_name":"Shengbo Chang","orcid":"https://orcid.org/0000-0001-6992-7566"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shengbo Chang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Tokyo University of Agriculture and Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Tokyo University of Agriculture and Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I92614990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022359423","display_name":"Katsuhide Fujita","orcid":"https://orcid.org/0000-0001-7867-4281"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuhide Fujita","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Tokyo University of Agriculture and Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Tokyo University of Agriculture and Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I92614990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051781990"],"corresponding_institution_ids":["https://openalex.org/I92614990"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08011325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"310","last_page":"332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9937999844551086,"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":0.9937999844551086,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9531999826431274,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9336000084877014,"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":0.8732465505599976},{"id":"https://openalex.org/keywords/negotiation","display_name":"Negotiation","score":0.7881675362586975},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6989268064498901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5840432047843933},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.4211311936378479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39809995889663696},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.35621654987335205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8732465505599976},{"id":"https://openalex.org/C199776023","wikidata":"https://www.wikidata.org/wiki/Q202875","display_name":"Negotiation","level":2,"score":0.7881675362586975},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6989268064498901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5840432047843933},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.4211311936378479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39809995889663696},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.35621654987335205},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-55326-4_15","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-55326-4_15","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W902610457","https://openalex.org/W1521146349","https://openalex.org/W1574410118","https://openalex.org/W2046002826","https://openalex.org/W2105440797","https://openalex.org/W2115759072","https://openalex.org/W2120544273","https://openalex.org/W2167149475","https://openalex.org/W2217332932","https://openalex.org/W2581583014","https://openalex.org/W2604325694","https://openalex.org/W2764214735","https://openalex.org/W2894504162","https://openalex.org/W3109348224","https://openalex.org/W3130182963","https://openalex.org/W3208755749","https://openalex.org/W4241697219","https://openalex.org/W4254929694","https://openalex.org/W4323240467"],"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/W2409425591"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}