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商品描述
This book serves as a comprehensive introduction to nonlinear complex systems through the application of machine learning methods. Artificial intelligence (AI) has affected the foundations of scientific discovery, and can therefore lend itself to developing a better understanding of the unpredictable nature of complex dynamical systems and to predict their future evolution.
Utilizing Python code, this book teaches and applies machine learning to topics such as chaotic dynamics and time-series analysis, solitons, breathers, chimeras, nonlinear localization, biomolecular dynamics, and wave propagation in the heart. The consistent integration of methods and models allow for readers to develop a necessary intuition on how to handle complexity through AI. This textbook contains a wealth of expository material, code, and example problems to support and organize academic coursework, allowing the technical nature of these areas of study to become highly accessible.
Requiring only a basic background in mathematics and coding in Python, this book is an essential text for a wide array of advanced undergraduate or graduate students in the applied sciences interested in complex systems through the lens of machine learning.
商品描述(中文翻譯)
這本書透過應用機器學習方法，全面介紹非線性複雜系統。人工智慧（AI）影響了科學發現的基礎，因此可以幫助我們更好地理解複雜動態系統的不可預測性，並預測其未來的演變。
本書利用 Python 程式碼，教授並應用機器學習於混沌動力學、時間序列分析、孤子、呼吸子、奇美拉、非線性定位、生物分子動力學以及心臟中的波傳播等主題。方法和模型的一致整合使讀者能夠培養必要的直覺，以透過 AI 處理複雜性。本教科書包含大量的說明材料、程式碼和範例問題，以支持和組織學術課程，使這些研究領域的技術性質變得非常易於接觸。
本書僅需具備基本的數學和 Python 編程背景，是對於有興趣從機器學習的角度研究複雜系統的各類高年級本科生或研究生的必備教材。
作者簡介
Giorgos Tsironis is Professor of Physics at the Department of Physics of the University of Crete in Greece, affiliated researcher at the Institute of Electronic Structure and Laser of FORTH and also the Director of the Institute of Theoretical and Computational Physics of the University of Crete. He is also visiting faculty in the School of Engineering and Applied Sciences of Harvard University. He obtained his PhD in Theoretical Condensed Matter and Statistical Physics from the University of Rochester in USA in 1987. He was then a postdoctoral associate at the University of California San Diego and the Fermi National Accelerator Laboratory before becoming an assistant professor of Physics at the University of North Texas while also affiliated with the Superconducting Super Collider Laboratory. He joined the Department of Physics of the University of Crete in 1994 as associate professor and became professor in 2000. During his carrier he was long-term visiting faculty in numerous institutions such as University of Barcelona in Spain, Technion in Haifa, Israel, Nazarbayev University in Kazakhstan, Cambridge University in the UK and Harvard University in USA. He has been affiliated with Los Alamos National Laboratory and a frequent visitor of its Center for Nonlinear Studies for many decades.
His research interests are in the areas of condensed matter physics, statistical mechanics, nonlinear physics, complexity, biological physics and metamaterials. In 1997 he was awarded the international Stephanos Pnevmatikos award for his "many contributions to nonequilibrium statistical mechanics and the theory of solitons in non-linear lattices, with applications to molecular crystals and biophysics". His recent research focus involves the role of nonlinearities and breathers in superconducting as well as quantum metamataterials. He has published over 200 papers in refereed journals while he (co-)organized a number of international conferences, workshops and advanced summer schools in the area of statistical mechanics and non-linear physics.
In recent year his research and teaching is focusing in the use of artificial intelligence (AI) in complex systems. He established a sequence of two undergraduate courses "Introduction to Data Science and Machine Learning" that are being taught at the University of Crete and also established a Master program at the Greek Open University on Data Science and Machine Learning. He taught the research course on "AI and Complex Dynamical Systems" at Harvard and the University of Crete. He has used AI in medical and biological applications, such as cardiology, COVID-19 virus spreading and neurodegenerative diseases, in detecting chimeras in complex, spatiotemporal networks as well as in quantum targeting processes.
作者簡介(中文翻譯)
喬治斯·齊羅尼斯（Giorgos Tsironis）是希臘克里特大學物理系的物理學教授，並且是FORTH電子結構與激光研究所的研究人員，還擔任克里特大學理論與計算物理研究所的所長。他同時也是哈佛大學工程與應用科學學院的訪問教員。他於1987年在美國羅徹斯特大學獲得理論凝聚態物理與統計物理的博士學位。隨後，他在加州大學聖地亞哥分校和費米國家加速器實驗室擔任博士後研究員，之後成為北德克薩斯大學的物理助理教授，同時與超導超對撞機實驗室有關聯。他於1994年加入克里特大學物理系，擔任副教授，並於2000年晉升為教授。在他的職業生涯中，他曾在多個機構擔任長期訪問教員，例如西班牙巴塞隆納大學、以色列海法的以色列理工學院、哈薩克斯坦納扎爾巴耶夫大學、英國劍橋大學和美國哈佛大學。他與洛斯阿拉莫斯國家實驗室有關聯，並且在其非線性研究中心頻繁訪問了數十年。
他的研究興趣包括凝聚態物理、統計力學、非線性物理、複雜性、生物物理和超材料。1997年，他因「對非平衡統計力學和非線性晶格中孤子理論的多項貢獻，並應用於分子晶體和生物物理」而獲得國際斯特凡諾斯·普內馬提科斯獎。他最近的研究重點涉及非線性和呼吸子在超導及量子超材料中的作用。他在同行評審的期刊上發表了超過200篇論文，並（共同）組織了多個國際會議、研討會和高級暑期學校，專注於統計力學和非線性物理領域。
近年來，他的研究和教學重點集中在人工智慧（AI）在複雜系統中的應用。他建立了一系列兩門本科課程「數據科學與機器學習導論」，這些課程在克里特大學教授，並在希臘開放大學建立了一個數據科學與機器學習的碩士課程。他在哈佛大學和克里特大學教授「AI與複雜動態系統」的研究課程。他在醫學和生物應用中使用AI，例如心臟病學、COVID-19病毒傳播和神經退行性疾病，並在複雜的時空網絡中檢測嵌合體，以及在量子目標過程中應用。
