Knowing Our World: An Artificial Intelligence Perspective
暫譯: 認識我們的世界：人工智慧的視角
Luger, George F.
相關主題
商品描述
Knowing our World: An Artificial Intelligence Perspective considers the methodologies of science, computation, and artificial intelligence to explore how we humans come to understand and operate in our world. While humankind's history of articulating ideas and building machines that can replicate the activity of the human brain is impressive, Professor Luger focuses on understanding the skills that enable these goals.
Based on insights afforded by the challenges of AI design and program building, Knowing our World proposes a foundation for the science of epistemology. Taking an interdisciplinary perspective, the book demonstrates that AI technology offers many representational structures and reasoning strategies that support clarification of these epistemic foundations.
This monograph is organized in three Parts; the first three chapters introduce the reader to the foundations of computing and the philosophical background that supports the AI tradition. These three chapters describe the origins of AI, programming as iterative refinement, and the representations and very high-level language tools that support AI application building.
The book's second Part introduces three of the four paradigms that represent research and development in AI over the past seventy years: the symbol-based, connectionist, and complex adaptive systems. Luger presents several introductory programs in each area and demonstrates their use.
The final three chapters present the primary theme of the book: bringing together the rationalist, empiricist, and pragmatist philosophical traditions in the context of a Bayesian world view. Luger describes Bayes' theorem with a simple proof to demonstrate epistemic insights. He describes research in model building and refinement and several philosophical issues that constrain the future growth of AI. The book concludes with his proposal of the epistemic stance of an active, pragmatic, model-revising realism.
商品描述(中文翻譯)
《認識我們的世界：人工智慧的視角》探討科學、計算和人工智慧的方法論，以探索我們人類如何理解和運作於這個世界。儘管人類在表達思想和建造能夠複製人腦活動的機器方面的歷史令人印象深刻，盧格教授專注於理解使這些目標得以實現的技能。
基於人工智慧設計和程式建構所面臨的挑戰所提供的見解，《認識我們的世界》提出了認識論科學的基礎。這本書採取跨學科的視角，展示了人工智慧技術提供了許多表徵結構和推理策略，支持對這些認識基礎的澄清。
本專著分為三個部分；前三章向讀者介紹計算的基礎和支持人工智慧傳統的哲學背景。這三章描述了人工智慧的起源、程式設計作為迭代精煉的過程，以及支持人工智慧應用建構的表徵和高階語言工具。
本書的第二部分介紹了過去七十年來人工智慧研究與開發的四個範式中的三個：基於符號的、連結主義的和複雜適應系統。盧格在每個領域中介紹了幾個入門程式並展示其使用。
最後三章呈現了本書的主要主題：在貝葉斯世界觀的背景下，將理性主義、經驗主義和實用主義的哲學傳統結合起來。盧格用一個簡單的證明描述了貝葉斯定理，以展示認識論的見解。他描述了模型建構和精煉的研究，以及幾個限制人工智慧未來發展的哲學問題。本書以他提出的「主動、實用、模型修正的現實主義」的認識立場作結。
作者簡介
George Luger is Professor Emeritus of Computer Science at the University of New Mexico. Dr. Luger was also a Professor in the Psychology and Linguistics Departments, reflecting his interdisciplinary interests in Cognitive Science and Computational Linguistics.
The National Science Foundation, NATO, the British Royal Society, NASA, the Smithsonian Institution, NIH, the Departments of Defense, Energy and Transportation, NIH, and other government agencies have supported George Luger's research. He has worked with the Los Alamos and Sandia National Laboratories and for numerous companies. Currently, his consulting is in the design of natural language web agents and deep learning technologies that analyze information in very large collections of data.
Dr. Luger is the author of Artificial Intelligence: Structures and Strategies for Complex Problem Solving (Addison-Wesley 2009), now in its Sixth Edition, and Cognitive Science: The Science of Intelligent Systems (Academic Press, 1994).
作者簡介(中文翻譯)
喬治·盧格（George Luger）是新墨西哥大學計算機科學的名譽教授。盧格博士同時也是心理學和語言學系的教授，這反映了他在認知科學和計算語言學方面的跨學科興趣。
喬治·盧格的研究得到了國家科學基金會、北約、英國皇家學會、NASA、史密森學會、國家衛生研究院（NIH）、國防部、能源部和交通部等政府機構的支持。他曾與洛斯阿拉莫斯國家實驗室和桑迪亞國家實驗室合作，並為多家公司工作。目前，他的顧問工作專注於自然語言網路代理和深度學習技術的設計，這些技術用於分析非常大數據集中的信息。
盧格博士是《人工智慧：複雜問題解決的結構與策略》（Artificial Intelligence: Structures and Strategies for Complex Problem Solving，亞迪森-韋斯利出版社，2009年，第六版）和《認知科學：智能系統的科學》（Cognitive Science: The Science of Intelligent Systems，學術出版社，1994年）的作者。
