Computational Intelligence in Generative Artificial Intelligence: Uncertainty Treatment and Decision-Making
暫譯: 生成式人工智慧中的計算智慧：不確定性處理與決策制定
Piñero Pérez, Pedro Yobanis, Pérez Pupo, Iliana, Kacprzyk, Janusz
相關主題
商品描述
This book is aimed at all those interested in the combined application of computational intelligence techniques and Generative Artificial Intelligence for Uncertainty Treatment and Decision Making.
The book is organized into four parts. The first part groups work related to new algorithms and techniques for handling uncertainty in generative artificial intelligence models. It also addresses topics associated with regulatory models for the development of Artificial Intelligence. The second part is dedicated to articles related to architectures of agentic artificial intelligence solutions. The third part includes works on generative artificial intelligence and the handling of uncertainty in solving human talent management problems. The fourth part includes works dedicated to supporting decision-making under uncertainty in business and engineering environments.
This book combines different artificial intelligence techniques for solving decision-making problems, among which the following stand out: generative artificial intelligence, linguistic data summarization techniques, neutrosphophic theory, word computing, among other techniques. The techniques proposed in the book aim to simulate human tolerance in decision-making processes in environments with uncertainty and imprecision.
The authors of the book stand out for their extensive experience in the development of basic and applied applications of computational intelligence. The authors Pedro Y. Piñero Pérez, Iliana Pérez Pupo, Janusz Kacprzyk and Rafael E. Bello Pérez have published several books associated with artificial intelligence and applied computational intelligence. They continue to work on fundamental and applied research on different artificial intelligence techniques to assist decision-making in different areas of knowledge.
商品描述(中文翻譯)
本書旨在服務所有對結合應用計算智慧技術與生成式人工智慧，以處理不確定性與進行決策感興趣的讀者。
本書分為四個部分。第一部分彙整與生成式人工智慧模型中不確定性處理相關的新演算法與技術，也探討人工智慧發展所涉及的監管模型。第二部分專門收錄與代理型人工智慧解決方案架構相關的文章。第三部分涵蓋生成式人工智慧，以及運用生成式人工智慧處理人力資源管理問題中的不確定性。第四部分則收錄專門探討如何在商業與工程環境中支援不確定性下決策的研究成果。
本書結合多種人工智慧技術，以解決決策問題，其中包括生成式人工智慧、語言資料摘要技術、模糊中智理論（neutrosophic theory）、詞語計算（word computing）等技術。書中提出的技術旨在模擬人類在具有不確定性與不精確性的環境中進行決策時所展現的容忍度。
本書作者在計算智慧基礎與應用程式的開發方面擁有豐富經驗。Pedro Y. Piñero Pérez、Iliana Pérez Pupo、Janusz Kacprzyk 與 Rafael E. Bello Pérez 曾出版多本與人工智慧及應用計算智慧相關的著作。他們持續針對不同的人工智慧技術進行基礎與應用研究，協助各個知識領域中的決策工作。
作者簡介
Janusz Kacprzyk born July 12, 1947, is a distinguished Polish engineer and mathematician, internationally recognized for his pioneering contributions to computational and artificial intelligence, specifically in fields such as fuzzy and intuitionistic sets, mathematical optimization, and decision-making under uncertainty. He currently serves as a professor of Computer Science at the Systems Research Institute of the Polish Academy of Sciences and at the Warsaw School of Applied Information Technology and Management (WIT). With an outstanding editorial career, he is the editor-in-chief of various scientific journals and several prestigious Springer book series, including Studies in Fuzziness and Soft Computing, Studies in Computational Intelligence, Advances in Intelligent and Soft Computing, and the Intelligent Systems Reference Library. Additionally, he serves on the editorial boards of approximately 40 scientific journals and is a member of international advisory boards for publications such as Fuzzy Sets and Systems and the International Journal of Intelligent Systems.
Pedro Y. Piñero Pérez, is a doctor in Technical Sciences, specializing in Artificial Intelligence, Cuba 2005. In 2007, he graduated as a "database specialist for e-government" at the Okinawa International Center. He has participated in different international projects associated with the development of information systems. Coordinator of the Master's Degree in Project Management 2007-2022. Currently, he is the chief Executive executive officer (CEO) of the IADES commercial company and co-coordinator of the IADES Community, both institutions dedicated to the development of new Artificial Intelligence technologies for Sustainable Development. He holds several intellectual property registrations associated with systems for business decision-making and multiple publications in journals and books.
Iliana Pérez Pupo, is a doctor in Technical Sciences from the National Board of Automatics and Computing (Artificial Intelligence), Cuba 2021. In 2011, she graduated from the Postgraduate Program of Excellence Master's Degree in Project Management at the University of Informatics Sciences. In her professional career, she has participated in different international projects associated with SCADA systems for the Oil Industry and Decision-Making in Project Management. Currently, she is the chief operating officer (COO) of the IADES commercial company and co-coordinator of the IADES Community, both entities dedicated to the development of new Artificial Intelligence technologies for Sustainable Development. She develops oriented fundamental research and applied research on different artificial intelligence techniques to support decision-making in various areas of knowledge. She holds several intellectual property registrations for intelligent systems for integrated project management.
Rafael Bello Perez received his Bachelor degree in Mathematics and Computer Science (1982) at Universidad Central ]Marta Abreu] de Las Villas (UCLV), Santa Clara, Cuba, and his Ph.D. in Mathematics at UCLV in 1988. He is a full Professor at Computer Science Department, UCLV, Cuba, and exhibits a long record of academic exchange with many universities in Latin America, Europe, and Asia. He has been a visiting scholar at some universities in Spain, Germany, and Belgium. He has taught more than 200 undergraduate and graduate courses in those academic centers. His current position is the director of the Research Center on Informatics at UCLV. He is the chief of the Scientific Council of UCLV. He has the especial academic category of ]Profesor de Merito] of UCLV, and he is a visiting professor in other Cuban universities.
作者簡介(中文翻譯)
Janusz Kacprzyk 生於 1947 年 7 月 12 日，是一位傑出的波蘭工程師與數學家，因其在計算與人工智慧領域的先驅性貢獻而享有國際聲譽，專長包括模糊集合與直覺模糊集合、數學最佳化，以及不確定性下的決策。目前，他擔任 Polish Academy of Sciences 的 Systems Research Institute，以及 Warsaw School of Applied Information Technology and Management（WIT）的電腦科學教授。除了卓越的編輯工作經歷之外，他也是多種科學期刊及多個知名 Springer 書系的主編，包括 Studies in Fuzziness and Soft Computing、Studies in Computational Intelligence、Advances in Intelligent and Soft Computing，以及 Intelligent Systems Reference Library。此外，他擔任約 40 種科學期刊的編輯委員，並擔任 Fuzzy Sets and Systems 與 International Journal of Intelligent Systems 等出版物的國際顧問委員會成員。
Pedro Y. Piñero Pérez 是技術科學博士，專長為人工智慧，於 2005 年在古巴取得博士學位。2007 年，他於 Okinawa International Center 取得「電子政府資料庫專家」資格。他曾參與多項與資訊系統開發相關的國際計畫，並於 2007 至 2022 年間擔任專案管理碩士學位課程協調人。目前，他擔任 IADES 商業公司的執行長（CEO），同時也是 IADES Community 的共同協調人；這兩個組織皆致力於開發應用於永續發展的新一代人工智慧技術。他擁有多項與企業決策系統相關的智慧財產權登記，並在期刊與書籍中發表多篇論文。
Iliana Pérez Pupo 是 National Board of Automatics and Computing（人工智慧）的技術科學博士，於 2021 年在古巴取得博士學位。2011 年，她自 University of Informatics Sciences 的卓越研究所專案管理碩士學位課程畢業。在其職業生涯中，她曾參與多項與石油產業 SCADA 系統及專案管理決策相關的國際計畫。目前，她擔任 IADES 商業公司的營運長（COO），同時也是 IADES Community 的共同協調人；這兩個組織皆致力於開發應用於永續發展的新一代人工智慧技術。她針對不同人工智慧技術進行導向型基礎研究與應用研究，以支援各個知識領域的決策。她擁有多項與整合式專案管理智慧系統相關的智慧財產權登記。
Rafael Bello Perez 於 1982 年在古巴 Santa Clara 的 Universidad Central Marta Abreu de Las Villas（UCLV）取得數學與電腦科學學士學位，並於 1988 年在 UCLV 取得數學博士學位。他目前是古巴 UCLV 電腦科學系的正教授，並與拉丁美洲、歐洲及亞洲的許多大學維持長期的學術交流。他曾在西班牙、德國及比利時的數所大學擔任訪問學者，並在這些學術機構講授超過 200 門大學部與研究所課程。目前，他擔任 UCLV 資訊研究中心主任，也是 UCLV 科學委員會主席。他獲授予 UCLV 的特殊學術榮譽「Profesor de Mérito」，並兼任其他古巴大學的客座教授。
