Dennett's Real Patterns in Science and Nature
暫譯: 丹尼特的科學與自然中的真實模式
Millhouse, Tyler, Petersen, Stephen D., Ross, Don
- 出版商: Summit Valley Press
- 出版日期: 2026-03-31
- 售價: $3,200
- 貴賓價: 9.5 折 $3,040
- 語言: 英文
- 頁數: 304
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0262052032
- ISBN-13: 9780262052030
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相關分類:
Machine Learning
尚未上市，無法訂購
商品描述
How the concept of a pattern, as understood in information science and applied in contemporary AI, can address deep questions in science and philosophy. The explosive growth of AI and machine learning in recent decades is predicated on the recognition and exploitation of patterns in data. Of course, scientists have engaged in their own--less automated--processes of pattern recognition since the birth of science itself, and biological organisms evolved their own neural networks for pattern recognition long before people and their technology came along. In his seminal work, "Real Patterns," philosopher and cognitive scientist Daniel Dennett laid out a roadmap for connecting the idea of "patterns" as understood by information theory to the practices of scientists and to our own cognitive capacity to model and predict the world around us. In this book--the first dedicated to the topic of real patterns--Tyler Millhouse, Steve Petersen, and Don Ross follow this roadmap. They explore the relevance of patterns to important aspects of both science and nature, including the emergence of high-level structure in physics; the nature of biological species; the measurement of welfare in economics; the evaluation of causal models; and the possibility of understanding in large neural networks.
商品描述(中文翻譯)
資訊科學中所理解的模式概念，以及在當代人工智慧中的應用，如何能夠解決科學和哲學中的深層問題。
近幾十年來，人工智慧和機器學習的爆炸性增長是基於對數據中模式的識別和利用。當然，自科學誕生以來，科學家們就已經參與了他們自己的—較不自動化的—模式識別過程，而生物有機體在科技出現之前就已經進化出自己的神經網絡來進行模式識別。 在他的開創性著作《真實模式》中，哲學家和認知科學家丹尼爾·丹尼特（Daniel Dennett）為將資訊理論中理解的「模式」概念與科學家的實踐以及我們自身的認知能力來建模和預測周圍世界之間建立了路線圖。在這本書中—首部專注於真實模式主題的著作—泰勒·米爾豪斯（Tyler Millhouse）、史蒂夫·彼得森（Steve Petersen）和唐·羅斯（Don Ross）遵循這一路線圖。他們探討了模式與科學和自然中重要方面的相關性，包括物理學中高層結構的出現；生物物種的本質；經濟學中福利的衡量；因果模型的評估；以及在大型神經網絡中理解的可能性。作者簡介
Tyler Millhouse is Assistant Professor of Practice in the University of Arizona's College of Information Science. His work has appeared in leading journals, such as The Australasian Journal of Philosophy, The British Journal for the Philosophy of Science, and Philosophy of Science. Steve Petersen is Professor of Philosophy at Niagara University. His work has appeared in journals like Philosophical Studies and Synthese, and in collections like The Ethics of Artificial Intelligence. He has been supported by the Survival and Flourishing Fund, the Center for Effective Altruism's Long-Term Future Fund, the Future of Life Institute, and the Center for AI Safety. Don Ross is Professor in the School of Society, Politics, and Ethics at University College Cork, Ireland; Professor in the School of Economics at the University of Cape Town, South Africa; and Program Director for Methodology at the Center for the Economic Analysis of Risk, Robinson College of Business, Georgia State University, Atlanta. He is an author or editor of 20 books, including Every Thing Must Go (with James Ladyman) and most recently The Gambling Animal (with Glenn Harrison).
作者簡介(中文翻譯)
泰勒·米爾豪斯（Tyler Millhouse）是亞利桑那大學資訊科學學院的實務助理教授。他的研究成果發表於多本領先的期刊，如《澳洲哲學期刊》（The Australasian Journal of Philosophy）、《英國科學哲學期刊》（The British Journal for the Philosophy of Science）以及《科學哲學》（Philosophy of Science）。
史蒂夫·彼得森（Steve Petersen）是尼亞加拉大學的哲學教授。他的研究成果發表於《哲學研究》（Philosophical Studies）和《綜合》（Synthese）等期刊，以及《人工智慧的倫理》（The Ethics of Artificial Intelligence）等文集。他曾獲得生存與繁榮基金、有效利他主義中心的長期未來基金、生命未來研究所以及人工智慧安全中心的支持。
唐·羅斯（Don Ross）是愛爾蘭科克大學社會、政治與倫理學院的教授；南非開普敦大學經濟學院的教授；以及喬治亞州立大學亞特蘭大羅賓遜商學院風險經濟分析中心的方法論計畫主任。他是20本書籍的作者或編輯，包括《一切必須消失》（Every Thing Must Go，與詹姆斯·拉迪曼合著）以及最近的《賭博動物》（The Gambling Animal，與格倫·哈里森合著）。
