Mathematical Research for Blockchain Economy: 6th International Conference Marble 2025, Athens, Greece
暫譯: 區塊鏈經濟的數學研究：第六屆國際會議 Marble 2025，希臘雅典
Leonardos, Stefanos, Goharshady, Amir K., Knottenbelt, William
- 出版商: Springer
- 出版日期: 2026-02-15
- 售價: $8,390
- 貴賓價: 9.5 折 $7,970
- 語言: 英文
- 頁數: 336
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3032133769
- ISBN-13: 9783032133762
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相關分類:
區塊鏈 Blockchain
海外代購書籍(需單獨結帳)
商品描述
This book presents the best papers from the 6th International Conference on Mathematical Research for Blockchain Economy (MARBLE) 2025, held in Athens, Greece. While most blockchain conferences and forums are dedicated to business applications, product development or Initial Coin Offering (ICO) launches, this conference focused on the mathematics behind blockchain to bridge the gap between practice and theory.
Blockchain technology has been considered as the most fundamental and revolutionizing invention since the Internet. Every year, thousands of blockchain projects are launched and circulated in the market, and there is a tremendous wealth of blockchain applications, from finance to healthcare, education, media, logistics, and more. However, due to theoretical and technical barriers, most of these applications are impractical for use in a real-world business context. The papers in this book reveal the challenges and limitations, such as scalability, latency, privacy, and security and showcase solutions and developments to overcome them.
商品描述(中文翻譯)
本書呈現了2025年第六屆區塊鏈經濟數學研究國際會議（MARBLE）中最佳的論文，該會議於希臘雅典舉行。雖然大多數區塊鏈會議和論壇專注於商業應用、產品開發或首次代幣發行（ICO），但本次會議則專注於區塊鏈背後的數學，以彌合實踐與理論之間的鴻溝。
區塊鏈技術被認為是自互聯網以來最根本且具有革命性的發明。每年都有數千個區塊鏈項目在市場上推出和流通，並且在金融、醫療保健、教育、媒體、物流等領域擁有大量的區塊鏈應用。然而，由於理論和技術上的障礙，這些應用在現實商業環境中大多無法實用。本書中的論文揭示了挑戰和限制，例如可擴展性、延遲、隱私和安全性，並展示了解決方案和發展以克服這些問題。
作者簡介
Stefanos Leonardos is a lecturer in Machine Learning at the Department of Informatics, King's College London, UK. His research interests span the areas of game theory and its applications in blockchain-enabled, digital economic systems, artificial intelligence, machine learning, and in strategic interactions that dynamically evolve over time. He has won numerous best paper awards for his research on the design of decentralized economies and on the analysis of exploration-exploitation algorithms in multi-agent systems.
Amir K. Goharshady is an associate professor of Computer Science at the Oxford University, UK and a Fellow of St Catherine's College where he also leads the ALPACAS research group. He is also a visiting professor at the Department of Computer Science and Engineering of the Indian Institute of Technology Bombay. His research interests are in theoretical computer science, specifically formal program verification, parametrised algorithms, compiler optimisation and blockchain. He holds a PhD in Theoretical Computer Science from the Institute of Science and Technology Austria, an MSc in Computer Science from Georgia Tech and undergraduate degrees in Maths and Computing from the Universities of London and Yazd. Prior to joining Oxford, he was an Assistant Professor of Computing and Mathematics at HKUST and used to be actively involved in organising high school Olympiads.
William Knottenbelt is a professor of Applied Quantitative Analysis at the Department of Computing, Imperial College, London, UK. His broad areas of research interest are the application of mathematical modelling techniques to real-life systems. Specific areas of interest include but are not limited to modelling and optimization in parallel queuing systems, modelling of storage systems, stochastic modelling of sport, stochastic modelling of healthcare systems, resource allocation and control in cloud-computing environments, numerical solution of Markov models and specification techniques for SLA specification, compliance prediction, and monitoring.
Panos Pardalos is an emeritus distinguished professor of Industrial and Systems Engineering at the University of Florida, USA. He also holds the Paul and Heidi Brown Preeminent Professor title in the same department. Additionally, he is the director of the Center for Applied Optimization and is an affiliated faculty member of the Computer and Information Science Department, the Hellenic Studies Center, and the Biomedical Engineering Program. Professor Pardalos is a world-leading expert in global and combinatorial optimization. He is also a member of several Academies of Sciences and holds honorary Ph.D. degrees and affiliations. He is a founding editor of Optimization Letters, Energy Systems, and co-founder of the International Journal of Global Optimization, and Computational Management Science. His recent research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing.
作者簡介(中文翻譯)
Stefanos Leonardos 是英國倫敦國王學院資訊學系的機器學習講師。他的研究興趣涵蓋博弈論及其在區塊鏈驅動的數位經濟系統、人工智慧、機器學習以及隨時間動態演變的策略互動中的應用。他因在設計去中心化經濟體系及分析多代理系統中的探索-利用算法方面的研究而獲得多項最佳論文獎。
Amir K. Goharshady 是英國牛津大學計算機科學的副教授，也是聖凱瑟琳學院的研究員，並領導ALPACAS研究小組。他同時也是印度理工學院孟買校區計算機科學與工程系的訪問教授。他的研究興趣集中在理論計算機科學，特別是形式程序驗證、參數化算法、編譯器優化和區塊鏈。他擁有奧地利科學與技術研究所的理論計算機科學博士學位、喬治亞理工學院的計算機科學碩士學位，以及倫敦大學和雅茲德大學的數學與計算本科學位。在加入牛津大學之前，他曾是香港科技大學計算與數學的助理教授，並積極參與組織高中奧林匹克競賽。
William Knottenbelt 是英國倫敦帝國學院計算系的應用定量分析教授。他的研究興趣廣泛，主要集中在數學建模技術在現實系統中的應用。具體的研究領域包括但不限於平行排隊系統中的建模與優化、儲存系統的建模、體育的隨機建模、醫療系統的隨機建模、雲計算環境中的資源分配與控制、馬爾可夫模型的數值解法，以及SLA規範、合規預測和監控的規範技術。
Panos Pardalos 是美國佛羅里達大學工業與系統工程的榮譽傑出教授。他在同一系所中還擔任保羅與海蒂·布朗傑出教授。此外，他是應用優化中心的主任，並且是計算機與資訊科學系、希臘研究中心和生物醫學工程計劃的附屬教員。Pardalos教授是全球和組合優化領域的世界領先專家。他還是多個科學學院的成員，並擁有榮譽博士學位及相關職稱。他是《Optimization Letters》、《Energy Systems》的創始編輯，並共同創辦了《International Journal of Global Optimization》和《Computational Management Science》。他最近的研究興趣包括網絡設計問題、電信優化、電子商務、數據挖掘、生物醫學應用和大規模計算。
