商品描述
The book purpose is to build a foundational knowledge base by applying antifragile system design, analysis, and development in technical systems, with a focus on traffic engineering, robotics, and control engineering. The authors are interested in formalizing principles and an apparatus that turns the basic concept of antifragility into a tool for designing and building closed-loop technical systems that behave beyond robust in the face of uncertainty.
As coined in the book of Nassim Taleb, antifragility is a property of a system to gain from uncertainty, randomness, and volatility, opposite to what fragility would incur. An antifragile system's response to external perturbations is beyond robust, such that small stressors can strengthen the future response of the system by adding a strong anticipation component. The work of the Applied Antifragility Group in traffic control and robotics, led by the authors, provides a good overview on the current research status.
商品描述(中文翻譯)
本書的目的是透過應用抗脆弱系統設計、分析和開發，建立一個基礎知識體系，重點關注交通工程、機器人技術和控制工程。作者希望將抗脆弱性的基本概念形式化，並創建一個工具，用於設計和構建在不確定性面前表現超越堅韌的閉環技術系統。
根據納西姆·塔勒布（Nassim Taleb）在其書中所提出的，抗脆弱性是一種系統的特性，能夠從不確定性、隨機性和波動中獲益，這與脆弱性所帶來的影響正好相反。抗脆弱系統對外部擾動的反應超越了堅韌，這樣小的壓力源可以通過增加強烈的預期成分來加強系統未來的反應。由作者領導的應用抗脆弱性小組在交通控制和機器人技術方面的工作，提供了當前研究狀況的良好概述。
作者簡介
Cristian Axenie is High Tech Agenda Bayern Professor of Artificial Intelligence, Scientific Staff with the Center of Artificial Intelligence, and Research Group Leader of the Sensorimotor Processing Intelligence and Control in Efficient compute Systems Laboratory at the Technische Hochschule Nürnberg Georg Simon Ohm (Nuremberg Institute of Technology) in Nürnberg, Germany. After earning a Dr.Eng.Sc. in Neuromorphic Systems and Robotics from the Technical University of Munich, Dr Axenie held leading research and development positions with Huawei Research, Audi Konfuzius Institute Laboratory, and Technische Hochschule Ingolstadt in Germany. Dr Axenie has over 15 years of academic and industrial experience materialized in over 50 peer-reviewed publications and 14 patents. Meisam Akbarzadeh is an Associate Professor in the Department of Transportation Engineering at Isfahan University of Technology in Iran. He earned a BSc in electrical engineering and a BSc in industrial engineering before obtaining his PhD in civil engineering. He is an Alexander von Humboldt foundation fellow and has spent research stays in ETH Zurich risk center, ETH Zurich DBAUG, EPFL LUTS, and IFISC. He has served as the head of department of transportation engineering and transportation research at the Isfahan University of Technology. He has published over 40 research papers and has led a handful of research projects. Michail A. Makridis is the Deputy Director of the Traffic Engineering and Control group at ETH Zürich, Switzerland. Previously, he led the Transport and Traffic Engineering group at the Zurich University of Applied Sciences and was the scientific lead for the Traffic Modeling Group at the Joint Research Centre (JRC) of the European Commission (EC). He holds a Ph.D. in Computer Vision from Democritus University of Thrace, Greece. His work emphasizes data-driven, physics-informed modeling and AI to enhance sustainability and traffic efficiency. In 2022, he received the JRC Annual Award for Excellence in Research from the EC. Matteo Saveriano is Associate Professor of Automatic Control and Group Leader of Robot Learning within the Interdepartmental Robotics Laboratory at the University of Trento in Trento, Italy. After earning a PhD from the Technical University of Munich in 2017, Dr. Saveriano was a Postdoctoral Research Fellow at the German Aerospace Center (DLR), Germany. In 2019, he moved as a Postdoctoral Research Fellow at the Department of Computer Science and Digital Science Center, University of Innsbruck, Innsbruck, Austria, where he started a Tenure Track Assistant Professorship in 2020. In 2021, he started a Tenure Track Assistant Professorship at the Department of Industrial Engineering, University of Trento in Trento, Italy. His research has been published in over 70 peer-reviewed publications in international journals and conferences. Alexandru Stancu is a Lecturer in Robotics and Control Engineering at the Department of Electrical and Electronic Engineering and the Robotics and Autonomous Systems Group Leader at the Aerospace Research Institute, both at the University of Manchester, UK. He received a European Ph.D. degree (summa cum laude) in Control Engineering from Polytechnic University of Catalonia, Barcelona (Spain) in 2004, and held academic positions with "Dunărea de Jos" University of Galati and the University of Mons, Belgium. Dr. Stancu has authored and co-authored over 60 articles and secured over GBP 3M in research grant contracts. He has over 25 years of research experience. Dr. Stancu is also director and founder of Manchester Robotics ltd.
作者簡介(中文翻譯)
Cristian Axenie 是德國紐倫堡科技大學（Technische Hochschule Nürnberg Georg Simon Ohm）的人工智慧高科技議程巴伐利亞教授、人工智慧中心的科學人員，以及高效計算系統實驗室的感知運動處理智慧與控制研究小組負責人。在慕尼黑工業大學獲得神經形態系統與機器人學的工學博士學位後，Axenie 博士曾在華為研究、奧迪孔子學院實驗室及德國英戈爾施塔特科技大學擔任領導研究與開發職位。Axenie 博士擁有超過 15 年的學術與產業經驗，發表了超過 50 篇同行評審的論文並擁有 14 項專利。
Meisam Akbarzadeh 是伊斯法罕科技大學交通工程系的副教授。他在獲得土木工程博士學位之前，先後獲得電機工程學士學位和工業工程學士學位。他是亞歷山大·馮·洪堡基金會的研究員，曾在蘇黎世聯邦理工學院風險中心、蘇黎世聯邦理工學院 DBAUG、洛桑聯邦理工學院 LUTS 和 IFISC 進行研究。他曾擔任伊斯法罕科技大學交通工程與交通研究系的系主任，發表了超過 40 篇研究論文並主導了幾個研究項目。
Michail A. Makridis 是瑞士蘇黎世聯邦理工學院交通工程與控制小組的副主任。此前，他曾領導蘇黎世應用科技大學的交通與交通工程小組，並擔任歐洲委員會（EC）聯合研究中心（JRC）交通建模小組的科學負責人。他擁有希臘色拉斯大學的計算機視覺博士學位。他的研究強調基於數據的物理知識建模和人工智慧，以提升可持續性和交通效率。2022年，他獲得了歐洲委員會頒發的 JRC 年度卓越研究獎。
Matteo Saveriano 是意大利特倫托大學自動控制副教授及跨系機器人實驗室的機器人學習小組負責人。2017年，他在慕尼黑工業大學獲得博士學位後，曾在德國航空航天中心（DLR）擔任博士後研究員。2019年，他轉至奧地利因斯布魯克大學計算機科學與數位科學中心擔任博士後研究員，並於2020年開始擔任終身教職助理教授。2021年，他在意大利特倫托大學工業工程系開始了終身教職助理教授的職位。他的研究已在國際期刊和會議上發表超過70篇同行評審的論文。
Alexandru Stancu 是英國曼徹斯特大學電氣與電子工程系的機器人與控制工程講師，以及航空航天研究所的機器人與自主系統小組負責人。他於2004年在西班牙巴塞羅那的加泰羅尼亞理工大學獲得控制工程的歐洲博士學位（優等），並曾在「Dunărea de Jos」加拉茨大學和比利時蒙斯大學擔任學術職位。Stancu 博士已發表和共同發表超過60篇文章，並獲得超過300萬英鎊的研究資助合同。他擁有超過25年的研究經驗，並且是曼徹斯特機器人有限公司的董事和創始人。
