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.

Discusses the multidisciplinary impact that antifragile system design has across technical domains Formulates a mathematical framework to model, analyze, design, and control technical systems behaving beyond robust Formalizes mathematical concepts wrapped in examples and guidelines for applications

Autorentext

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 (SPICES Lab) at the Technische Hochschule Nürnberg Georg Simon Ohm (Nuremberg Institute of Technology) in Nürnberg, Germany. After earning a Dr. Eng. Sc. in Neuroscience and Robotics from the Technical University of Munich (TUM), Dr Axenie was a Research Fellow in Neuromorphic Engineering with the TUM Center of Competence Neuroengineering before joining Huawei Research Center in Munich. With Huawei, Dr Axenie was a Staff Research Engineer in Enterprise Intelligence for Cloud Solutions with Huawei's largest research center outside China. At the same time, Dr Axenie was Head of the Laboratory and Principal Scientist at the Audi Konfuzius-Institut Ingolstadt Laboratory at the Technical University of Ingolstadt, a Sino-German research initiative focused on Human-centered Artificial Intelligence. Earlier, Dr Axenie earned a B. Sc. in Control Engineering and a M. Sc. in Robotics and AI from the University of Galati in Romania. He has over 15 years of experience in academic research and over 10 years in industrial research. His research has been published in 50+ peer-reviewed publications and 10+ patents. Roman Bauer is a Senior Lecturer (Associate Professor) at the Nature Inspired Computing and Engineering research group, in the Computer Science Research Centre at the University of Surrey (UK). He received his Bachelor's and Master's Degree in Computational Science and Engineering from ETH Zuerich, Switzerland. Afterwards, he did his doctoral studies at the Institute for Neuroinformatics (ETH Zürich/Uni Zürich) on simulations of brain development. He then joined Newcastle University (UK) in 2013 as a postdoc and afterwards led his own lab funded by two fellowships (MRC Skills Development Fellowship and EPSRC UKRI Innovation Fellowship). In 2020 he became a Lecturer and in 2023 a Senior Lecturer at the University of Surrey, where he since then leads the interdisciplinary COMBYNE research lab. Dr Bauer's research focuses on the computational modelling and analysis of biological dynamics, in particular those of the brain. Core components of his interests are neurodevelopment and neurodegeneration. His highly interdisciplinary research involves modern computing approaches, biological expertise, innovative machine learning methods and IT- related collaboration. Oliver López-Corona is a theoretical physicist who studies the physics of life (both natural and artificial), from its theoretical foundations to specific applications in the health of ecosystems, including the human ecosystem. Jeffrey West is an Assistant Professor in the Department of Integrated Mathematical Oncology at Moffitt Cancer Center, where he is an active member of the Center of Excellence for Evolutionary Therapy. His educational background began with a B. Sc. in mechanical engineering from Ohio Northern University with a focus on dynamical systems. His Ph.D. studies at the University of Southern California applied evolutionary game theory and high performance computing methods to study the evolution and ecology of cancer progression and treatment. Now, the goal of his research program at Moffitt is to aid in targeting treatment resistance by constructing mathematical models of 1) tumor evolution and heterogeneity and 2) evolutionary-minded treatment strategies, employing techniques such as agent-based modeling, dose response convexity analysis and evolutionary game theory.

Inhalt

Introduction.- Multistability and Intrinsic Antifragility.- Inherited Antifragility.- Induced Antifragility.- Conclusions and Open Research Questions.