Recent Advances in Agent-Based Negotiation: Applications and Competition Challenges (代理基礎談判的最新進展:應用與競爭挑戰)

Hadfi, Rafik, Aydoğan, Reyhan, Ito, Takayuki

  • 出版商: Springer
  • 出版日期: 2024-03-22
  • 售價: $5,760
  • 貴賓價: 9.5$5,472
  • 語言: 英文
  • 頁數: 145
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 981990563X
  • ISBN-13: 9789819905638
  • 海外代購書籍(需單獨結帳)

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商品描述

This book comprises carefully selected and reviewed outcomes of the 13th International Workshop on Automated Negotiations (ACAN) held in Vienna, 2022, in conjunction with International Joint Conference on Artificial Intelligence (IJCAI) 2022. It focuses on the applications and challenges of agent-based negotiation including agreement technology, mechanism design, electronic commerce, recommender systems, supply chain management, social choice theory, and others.


This book is intended for the academic and industrial researchers of various communities of autonomous agents and multi-agent systems, as well as graduate students studying in those areas or having interest in them.

商品描述(中文翻譯)

本書包含了2022年在維也納舉行的第十三屆國際自動化談判研討會(ACAN)所精心挑選和審核的成果,該研討會與2022年國際人工智慧聯合會議(IJCAI)同時舉行。本書專注於基於代理的談判的應用與挑戰,包括協議技術、機制設計、電子商務、推薦系統、供應鏈管理、社會選擇理論等主題。

本書旨在為各個自主代理和多代理系統社群的學術及產業研究者,以及對這些領域有興趣或正在學習的研究生提供參考。

作者簡介

Dr. Rafik Hadfi is an assistant professor in the Department of Social Informatics at Kyoto University. He received his Ph.D. from Nagoya Institute of Technology in 2015 and has worked in Japan and Australia before joining Kyoto University in 2020. His research interests lie in the design, development, and application of multi-agent systems for social simulation and collective decision making. He is currently using conversational AI to study deliberation, polarization, and fairness in social networks. Rafik is also working on multi-agent automated negotiation with the focus on social domains. Rafik served as a program committee member of leading AI conferences such as IJCAI, AAMAS, SNPD, and IEEE ICA and a reviewer for Group Decision and Negotiation; Artificial Intelligence Review; Neural Computation; Advanced Computational Intelligence and Intelligent Informatics; and Networked and Distributed Computing. Rafik has been the publication chair, the workshops chair, the tutorials chair, the volunteers chair, and the web chair for international AI conferences such as IJCAI, PRICAI, PRIMA, and IEEE ICA. In 2022, he will serve as the program chair of IEEE ICA. Rafik received the annual conference award from Japan Society for Artificial Intelligence (2020), IBM Award of Scientific Excellence (2020), Best Paper Award from Information Processing Society of Japan (2016), IEEE Young Researcher Award (2014), AAAI Student Scholarship Award (2014), and Best Presentation Award at the International Workshop on Agent Complex Automated Negotiations (2011).

Dr. Reyhan Aydoğan is an assistant professor at Ozyegin University, Istanbul, and at the same time affiliated as a guest researcher in the Interactive Intelligence Group at the Delft University of Technology, the Netherlands. As a guest researcher, she visited the Center of Collective Intelligence at MIT in 2013, the Intelligence Systems Group at the Norwegian University of Science and Technology in 2015, and theFrontier Research Institute for Information Science at Nagoya Institute of Technology in 2017. Her research focuses on the modeling, development, and analysis of agent technologies that integrate different aspects of intelligence such as reasoning, decision making, and learning. She applies artificial intelligence techniques such as machine learning and semantic reasoning in designing and developing agent-based decision support systems, particularly negotiation support systems and automated negotiation tools. Dr. Aydoğan is one of the main organizers of the International Automated Negotiating Agents Competition (ANAC). She co-organized the following workshops: Conflict Resolution in Decision Making Workshop (COREDEMA) and International Workshop on Agent-based Complex Automated Negotiations (ACAN). She is serving as a program committee member in reputable conferences such as AAAI, AAMAS, IJCAI, and ECAI. She served as a guest editor for the Special Issue on Artificial IntelligenceTechniques for Conflict Resolution in Group Decision and Negotiation. Furthermore, she co-organized the 24th International Conference on Principles and Practice of Multi-agent Systems in 2022.

Dr. Takayuki Ito is a professor of Kyoto University. He received the B.E., M.E, and Doctor of Engineering from the Nagoya Institute of Technology in 1995, 1997, and 2000, respectively. From 1999 to 2001, he was a research fellow of the Japan Society for the Promotion of Science (JSPS). From 2000 to 2001, he was a visiting researcher at University of Southern California/Information Sciences Institute (USC/ISI). From April 2001 to March 2003, he was an associate professor of Japan Advanced Institute of Science and Technology (JAIST). From April 2004 to March 2013, he was an associate professor of Nagoya Institute of Technology. From April 2014 to September 2020, he was a professor of Nagoya Institute of Technology. In October 2020, he joined Kyoto University. From 2005 to 2006, he was avisiting researcher at the Division of Engineering and Applied Science, Harvard University, and a visiting researcher at the Center for Coordination Science, MIT Sloan School of Management. From 2008 to 2010, he was a visiting researcher at the Center for Collective Intelligence, MIT Sloan School of Management. From 2017 to 2018, he is an invited researcher of the Artificial Intelligence Center of AIST, Japan. From March 5, 2019, he is the CTO of AgreeBit, Inc. He is a board member of IFAAMAS, an executive committee member of IEEE Computer Society Technical Committee on Intelligent Informatics, the PC-chair of AAMAS2013, PRIMA2009, the local arrangements chair of IJCAI-PRICAI2020, the general chair of PRIMA2014, and was a SPC/PC member in many top-level conferences (IJCAI, AAMAS, ECAI, AAAI, etc.). He received the Japan Society for Artificial Intelligence (JSAI) Contribution Award, the JSAI Achievement Award, the JSPS Prize, 2014, the Prize for Science and Technology (Research Category), the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science, and Technology, 2013, the Young Scientists' Prize, The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science, and Technology, 2007, the Nagao Special Research Award of the Information Processing Society of Japan, 2007, the Best Paper Award of AAMAS 2006, the 2005 Best Paper Award from Japan Society for Software Science and Technology, the Best Paper Award in the 66th annual conference of 66th Information Processing Society of Japan, and the Super Creator Award of 2004 IPA Exploratory Software Creation Projects. He is the principal investigator of the Japan Cabinet Funding Program for Next Generation World-Leading Researchers (NEXT Program). Further, he has several companies, which are handling web-based systems and enterprise distributed systems. His main research interests include multi-agent systems, intelligent agents, collective intelligence, group decision support system, etc.

Dr. Ryuta Arisaka is an assistant professor at Kyoto University. His interests cover mathematical and philosophical logic, formal and informal argumentation, and formal methods in program analysis. He obtained B.Sc. Computer Science (1st Hons, 83% average in final year's exams) and M.Phil. Computer Science from the University of Manchester, UK, and subsequently Ph.D. Computer Science also in the UK. He conducted research on mathematical logic and formal argumentation at INRIA-Saclay (Palaiseau, France), National Institute of Informatics (Tokyo, Japan), Perugia University (Perugia, Italy), and Nagoya Institute of Technology (Nagoya, Japan), before joining Kyoto University. He was awarded Best Paper Award for his research on formal argumentation semantics at PRICAI 2019 and argumentation-based multi-agent concurrent negotiations at ACAN 2019. He was a program co-chair of IEEE ICA2021. He has served as a program committee memberof AAAI, IJCAI, PRIMA, and other international workshops.

作者簡介(中文翻譯)

Dr. Rafik Hadfi 是京都大學社會資訊學系的助理教授。他於2015年在名古屋工業大學獲得博士學位,並在加入京都大學之前曾在日本和澳洲工作。他的研究興趣在於設計、開發和應用多代理系統以進行社會模擬和集體決策。他目前正在使用對話式人工智慧研究社交網絡中的審議、極化和公平性。Rafik 也在專注於社會領域的多代理自動談判方面進行研究。Rafik 曾擔任多個領先人工智慧會議的程序委員會成員,如 IJCAI、AAMAS、SNPD 和 IEEE ICA,並擔任《Group Decision and Negotiation》、《Artificial Intelligence Review》、《Neural Computation》、《Advanced Computational Intelligence and Intelligent Informatics》及《Networked and Distributed Computing》的審稿人。Rafik 曾擔任國際人工智慧會議的出版主席、工作坊主席、教程主席、志工主席和網頁主席,如 IJCAI、PRICAI、PRIMA 和 IEEE ICA。2022年,他將擔任 IEEE ICA 的程序主席。Rafik 獲得了日本人工智慧學會的年度會議獎(2020)、IBM 科學卓越獎(2020)、日本資訊處理學會最佳論文獎(2016)、IEEE 年輕研究者獎(2014)、AAAI 學生獎學金(2014)以及國際代理複雜自動談判工作坊最佳報告獎(2011)。

Dr. Reyhan Aydoğan 是伊斯坦堡的 Ozyegin 大學的助理教授,同時也是荷蘭代爾夫特科技大學互動智慧小組的客座研究員。作為客座研究員,她於2013年訪問了麻省理工學院的集體智慧中心,2015年訪問了挪威科技大學的智能系統小組,並於2017年訪問了名古屋工業大學的前沿研究所。她的研究專注於建模、開發和分析整合推理、決策和學習等不同智慧面向的代理技術。她在設計和開發基於代理的決策支持系統,特別是談判支持系統和自動談判工具中應用機器學習和語義推理等人工智慧技術。Dr. Aydoğan 是國際自動談判代理競賽(ANAC)的主要組織者之一。她共同組織了以下工作坊:決策中的衝突解決工作坊(COREDEMA)和基於代理的複雜自動談判國際工作坊(ACAN)。她在 AAAI、AAMAS、IJCAI 和 ECAI 等知名會議中擔任程序委員會成員。她曾擔任《Group Decision and Negotiation》特刊的客座編輯,主題為「衝突解決的人工智慧技術」。此外,她於2022年共同組織了第24屆多代理系統原則與實踐國際會議。

Dr. Takayuki Ito 是京都大學的教授。他於1995年、1997年和2000年分別在名古屋工業大學獲得工程學士、碩士和工程博士學位。1999年至2001年,他是日本學術振興會(JSPS)的研究員。2000年至2001年,他是南加州大學/資訊科學研究所(USC/ISI)的訪問研究員。2001年4月至2003年3月,他是日本先進科學技術研究所(JAIST)的副教授。2004年4月至2013年3月,他是名古屋工業大學的副教授。2014年4月至2020年9月,他是名古屋工業大學的教授。2020年10月,他加入京都大學。2005年至2006年,他是訪問研究員。

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