Distributed Information and Computation in Generic Quantum Systems
暫譯: 通用量子系統中的分散資訊與計算
Fields, Chris, Glazebrook, James
商品描述
This book discusses an integrative approach to the currently high profile topics of artificial intelligence, quantum information, and quantum biology, with applications in the biosciences and the emerging fields of computational phenomenology and basal cognition. Specifically, the book addresses theoretical constructs of artificial intelligence and quantum information within scale-free work space architectures as pertaining to neuroscience and biology as well as to self-organizing systems generally. The past few years have seen a rapid convergence of interests between researchers working in evo-devo biology and neuroscience and those working in AI, machine learning, and the physics of information, with much of this convergence driven by recognition that the Free Energy Principle applies not just to nervous systems, but to physical systems in general. The authors develop a scale-free, minimal architecture that associates a generic semantics with any well-defined physical interaction. The presentation is accessible to a broad audience, including advanced undergraduates. The book is appropriate for students and researchers in AI, the physics of information, and the life sciences, particularly those working in the growing interdisciplinary field of active inference.
商品描述(中文翻譯)
本書探討了一種綜合性的方法，針對當前備受關注的主題，包括人工智慧、量子資訊和量子生物學，並應用於生物科學以及新興的計算現象學和基礎認知領域。具體而言，本書討論了人工智慧和量子資訊的理論構建，這些構建與無尺度工作空間架構有關，並涉及神經科學和生物學，以及自組織系統的一般性。近幾年來，從事演化發展生物學和神經科學的研究人員與從事人工智慧、機器學習和資訊物理學的研究人員之間的興趣迅速趨同，這種趨同的主要驅動力是認識到自由能原則不僅適用於神經系統，還適用於一般的物理系統。作者開發了一種無尺度的最小架構，將通用語義與任何明確定義的物理互動關聯起來。這本書的內容對廣泛的讀者群體都很容易理解，包括高年級本科生。本書適合人工智慧、資訊物理學和生命科學的學生和研究人員，特別是那些在日益增長的主動推斷跨學科領域工作的研究者。
作者簡介
Chris Fields, Ph.D., is a member of the Allen Discovery Center of Tufts University as well as a private consultant. He received his Ph.D. in Philosophy from the University of Colorado. He is an Information Theorist having worked in nuclear physics, AI applications, neuromorphic computing, and bioinformatics. His work currently focuses on the interface between quantum information, computing, and the life sciences.
James F. Glazebrook, Ph.D., is Emeritus Professor in the Department of Mathematics and Computer Science at Eastern Illinois University and member of the Adjunct Faculty in the Department of Mathematics at the University of Illinois at Urbana-Champaign. He received his Ph.D. in Mathematics from the University of Warwick and has held academic appointments in Mexico, Canada, and the USA. His research interests have included geometric analysis, operator theory/algebras and category theory. Currently, he is applying mathematical methods to cognitive neuroscience, aspects of biology (protein dynamics and neuromorphic development), artificial intelligence (classical and quantum frame problems), and quantum information in relationship to the principles of free energy and active inference.
作者簡介(中文翻譯)
克里斯·菲爾茲（Chris Fields），博士，是塔夫茨大學艾倫發現中心的成員以及私人顧問。他在科羅拉多大學獲得哲學博士學位。他是一位信息理論專家，曾在核物理、人工智慧應用、類神經計算和生物信息學領域工作。他目前的研究重點是量子信息、計算與生命科學之間的接口。
詹姆斯·F·格雷茲布魯克（James F. Glazebrook），博士，是伊利諾伊東部大學數學與計算機科學系的名譽教授，並且是伊利諾伊大學香檳分校數學系的兼任教員。他在華威大學獲得數學博士學位，並曾在墨西哥、加拿大和美國擔任學術職位。他的研究興趣包括幾何分析、算子理論/代數和範疇理論。目前，他正在將數學方法應用於認知神經科學、生物學的某些方面（如蛋白質動力學和類神經發展）、人工智慧（經典和量子框架問題）以及量子信息，並與自由能和主動推理的原則相關聯。
