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Titlebook: How Can Physics Underlie the Mind?; Top-Down Causation i George Ellis Book 2016 Springer-Verlag Berlin Heidelberg 2016 Adaptive Systems.Bio

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發(fā)表于 2025-3-21 17:06:10 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱How Can Physics Underlie the Mind?
副標題Top-Down Causation i
編輯George Ellis
視頻videohttp://file.papertrans.cn/429/428566/428566.mp4
概述Addresses one of science and philosophy’s biggest puzzles: how complex structures that emerge from atoms and molecules can become causative agent.Argues that the human mind and resultant social agency
叢書名稱The Frontiers Collection
圖書封面Titlebook: How Can Physics Underlie the Mind?; Top-Down Causation i George Ellis Book 2016 Springer-Verlag Berlin Heidelberg 2016 Adaptive Systems.Bio
描述.Physics underlies all complexity, including our own existence: how is this possible? How can our own lives emerge from interactions of electrons, protons, and neutrons? This book considers the interaction of physical and non-physical causation in complex systems such as living beings, and in particular in the human brain, relating this to the emergence of higher levels of complexity with real causal powers. In particular it explores the idea of top-down causation, which is the key effect allowing the emergence of true complexity and also enables the causal efficacy of non-physical entities, including the value of money, social conventions, and ethical choices..
出版日期Book 2016
關鍵詞Adaptive Systems; Biological Information; Emergent Complexity; Human Brain; Top-Down Causation
版次1
doihttps://doi.org/10.1007/978-3-662-49809-5
isbn_softcover978-3-662-57036-4
isbn_ebook978-3-662-49809-5Series ISSN 1612-3018 Series E-ISSN 2197-6619
issn_series 1612-3018
copyrightSpringer-Verlag Berlin Heidelberg 2016
The information of publication is updating

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George Ellis Symbolic computation systems have revolutionized the field, building upon established and recent mathematical theory to open new possibilities in virtually every industry. Formerly dubbed Scratchpad, AXIOM is a powerful new symbolic and numerical system developed at the IBM Thomas J. Watson Researc
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George Ellis, social networks, human contact networks, financial transaction networks, etc.) are time-varying in nature, i.e., the relationship changes over time. Such networks are often modeled as Temporal Networks. In this paper, we study the problem of enumerating cohesive substructures present in a given te
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發(fā)表于 2025-3-22 17:54:41 | 只看該作者
George Ellisnstance, data processing systems already shifted from disk-oriented to main memory-oriented architectures to efficiently exploit the ever-increasing capacities of main memory. A prominent example for such new developments are emerging memory technologies such as very large caches, high-bandwidth mem
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George Ellisnstance, data processing systems already shifted from disk-oriented to main memory-oriented architectures to efficiently exploit the ever-increasing capacities of main memory. A prominent example for such new developments are emerging memory technologies such as very large caches, high-bandwidth mem
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發(fā)表于 2025-3-23 07:07:21 | 只看該作者
George Ellis, social networks, human contact networks, financial transaction networks, etc.) are time-varying in nature, i.e., the relationship changes over time. Such networks are often modeled as Temporal Networks. In this paper, we study the problem of enumerating cohesive substructures present in a given te
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