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商品描述
The essential reader on the philosophical foundations and implications of artificial intelligence, now comprehensively updated for the twenty-first century. In the quarter century since the publication of John Haugeland's Mind Design II, computer scientists have hit many of their objectives for successful artificial intelligence. Computers beat chess grandmasters, driverless cars navigate streets, autonomous robots vacuum our homes, and ChatGPT answers existential queries in iambic pentameter on command. Engineering has made incredible strides. But have we made progress in understanding and building minds? Comprehensively updated by Carl Craver and Colin Klein to reflect the astonishing ubiquity of machine learning in modern life, Mind Design III offers an essential collection of classic and contemporary essays on the philosophical foundations and implications of artificial intelligence. Contributions from a diverse range of philosophers and computer scientists address the nature of computation, the nature of thought, and the question of whether computers can be made to think. With extensive new material reflecting the explosive growth and diversification of AI approaches, this classic reader equips students to assess the possibility of, and progress toward, building minds out of computers. New edition highlights:
- New chapters on advances in deep neural networks, reinforcement learning, and causal learning
- New material on the complementary intersection of neuroscience and AI
- Organized thematically rather than chronologically
- Brand new introductions to each section that include suggestions for coursework and further reading
商品描述(中文翻譯)
《人工智慧的哲學基礎與影響的必讀書籍，現已全面更新以符合二十一世紀的需求。》
自約翰·豪格蘭的《心智設計 II》出版以來的二十五年中，計算機科學家們已經實現了許多成功的人工智慧目標。計算機擊敗了國際象棋大師，自駕車在街道上行駛，自動化機器人為我們的家居清掃，而 ChatGPT 則能夠以五步詩的形式回答存在主義的問題。工程技術取得了驚人的進展。但我們在理解和構建心智方面是否也有所進步？由卡爾·克雷弗和科林·克萊因全面更新的《心智設計 III》反映了機器學習在現代生活中的驚人普及，提供了一系列關於人工智慧哲學基礎與影響的經典與當代論文。來自不同哲學家和計算機科學家的貢獻探討了計算的本質、思考的本質，以及計算機是否能夠被製造出來進行思考的問題。這本經典讀物包含大量新材料，反映了人工智慧方法的爆炸性增長與多樣化，幫助學生評估從計算機構建心智的可能性及其進展。
新版本亮點：
- 新增有關深度神經網絡、強化學習和因果學習的章節
- 新增有關神經科學與人工智慧互補交集的新材料
- 按主題而非按時間順序組織
- 每個部分全新引言，包括課程建議和進一步閱讀的建議
作者簡介
The late John Haugeland was the David B. and Clara E. Stern Professor Emeritus in Philosophy at the University of Chicago. He was chair of the Philosophy Department from 2004-2007 and was the editor of two editions of Mind Design: Philosophy, Psychology, and Artificial Intelligence. Carl F. Craver is Professor of Philosophy and Philosophy-Neuroscience-Psychology at Washington University in St. Louis, author of Explaining the Brain: Mechanisms and the Mosaic Unity of Neuroscience, and coauthor of In Search of Mechanisms: Discoveries across the Life Sciences. Colin Klein is Professor of Philosophy at the Australian National University and author of What the Body Commands: The Imperative Theory of Pain (MIT Press).
作者簡介(中文翻譯)
已故的約翰·豪格蘭（John Haugeland）是芝加哥大學的戴維·B·和克拉拉·E·斯特恩名譽教授。他於2004年至2007年間擔任哲學系主任，並編輯了《心智設計：哲學、心理學與人工智慧》的兩個版本。
卡爾·F·克雷弗（Carl F. Craver）是聖路易華盛頓大學的哲學及哲學-神經科學-心理學教授，著有《解釋大腦：機制與神經科學的馬賽克統一》，並共同撰寫《尋找機制：生命科學中的發現》。
科林·克萊因（Colin Klein）是澳洲國立大學的哲學教授，著有《身體的命令：疼痛的命令理論》（MIT Press）。
