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George Lakoff

Bio: George Lakoff is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Metaphor & Conceptual metaphor. The author has an hindex of 65, co-authored 149 publications receiving 93321 citations. Previous affiliations of George Lakoff include San Jose State University & University of Michigan.


Papers
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Book
01 Jan 1980
TL;DR: Lakoff and Johnson as mentioned in this paper suggest that these basic metaphors not only affect the way we communicate ideas, but actually structure our perceptions and understandings from the beginning, and they offer an intriguing and surprising guide to some of the most common metaphors and what they can tell us about the human mind.
Abstract: People use metaphors every time they speak. Some of those metaphors are literary - devices for making thoughts more vivid or entertaining. But most are much more basic than that - they're "metaphors we live by", metaphors we use without even realizing we're using them. In this book, George Lakoff and Mark Johnson suggest that these basic metaphors not only affect the way we communicate ideas, but actually structure our perceptions and understandings from the beginning. Bringing together the perspectives of linguistics and philosophy, Lakoff and Johnson offer an intriguing and surprising guide to some of the most common metaphors and what they can tell us about the human mind. And for this new edition, they supply an afterword both extending their arguments and offering a fascinating overview of the current state of thinking on the subject of the metaphor.

17,091 citations

Journal ArticleDOI
TL;DR: Lakoff and Johnson as mentioned in this paper suggest that these basic metaphors not only affect the way we communicate ideas, but actually structure our perceptions and understandings from the beginning, and they offer an intriguing and surprising guide to some of the most common metaphors and what they can tell us about the human mind.
Abstract: People use metaphors every time they speak. Some of those metaphors are literary - devices for making thoughts more vivid or entertaining. But most are much more basic than that - they're \"metaphors we live by\", metaphors we use without even realizing we're using them. In this book, George Lakoff and Mark Johnson suggest that these basic metaphors not only affect the way we communicate ideas, but actually structure our perceptions and understandings from the beginning. Bringing together the perspectives of linguistics and philosophy, Lakoff and Johnson offer an intriguing and surprising guide to some of the most common metaphors and what they can tell us about the human mind. And for this new edition, they supply an afterword both extending their arguments and offering a fascinating overview of the current state of thinking on the subject of the metaphor.

11,114 citations

Journal ArticleDOI
01 Mar 1983-Language
TL;DR: Lakoff and Johnson as discussed by the authors present a very attractive book for linguists to read, which is written in a direct and accessible style; while it introduces and uses a number of new terms, for the most part it is free of jargon.
Abstract: Every linguist dreams of the day when the intricate variety of human language will be a commonplace, widely understood in our own and other cultures; when we can unlock the secrets of human thought and communication; when people will stop asking us how many languages we speak. This day has not yet arrived; but the present book brings it somewhat closer. It is, to begin with, a very attractive book. The publishers deserve a vote of thanks for the care that is apparent in the physical layout, typography, binding, and especially the price. Such dedication to scholarly publication at prices which scholars can afford is meritorious indeed. We may hope that the commercial success of the book will stimulate them and others to similar efforts. It is also a very enjoyable and intellectually stimulating book which raises, and occasionally answers, a number of important linguistic questions. It is written in a direct and accessible style; while it introduces and uses a number of new terms, for the most part it is free of jargon. This is no doubt part of its appeal to nonlinguists, though linguists should also find it useful and provocative. It even has possibilities as a textbook. Lakoff and Johnson state their aims and claims forthrightly at the outset (p. 3):

7,812 citations

Book
01 Jan 1999
TL;DR: The Cognitive Science of Philosophy: A Cognitive Science Of Basic Philosophical Ideas as mentioned in this paper The Cognitive science of philosophy is a branch of the philosophy of early Greek metaphysics and philosophy of philosophy.
Abstract: * Introduction: Who Are We? How The Embodied Mind Challenges The Western Philosophical Tradition * The Cognitive Unconscious * The Embodied Mind * Primary Metaphor and Subjective Experience * The Anatomy of Complex Metaphor * Embodied Realism: Cognitive Science Versus A Priori Philosophy * Realism and Truth * Metaphor and Truth The Cognitive Science Of Basic Philosophical Ideas * The Cognitive Science of Philosophical Ideas * Time * Events and Causes * The Mind * The Self * Morality The Cognitive Science Of Philosophy * The Cognitive Science of Philosophy * The Pre-Socratics: The Cognitive Science of Early Greek Metaphysics * Plato * Aristotle * Descartes and the Enlightenment Mind * Kantian Morality * Analytic Philosophy * Chomskys Philosophy and Cognitive Linguistics * The Theory of Rational Action * How Philosophical Theories Work Embodied Philosophy * Philosophy in the Flesh

6,747 citations


Cited by
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Book
18 Nov 2016
TL;DR: Deep learning as mentioned in this paper is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts, and it is used in many applications such as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames.
Abstract: Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

38,208 citations

Journal ArticleDOI
TL;DR: In this paper, the authors propose a paradigm for managing the dynamic aspects of organizational knowledge creating processes, arguing that organizational knowledge is created through a continuous dialogue between tacit and explicit knowledge.
Abstract: This paper proposes a paradigm for managing the dynamic aspects of organizational knowledge creating processes. Its central theme is that organizational knowledge is created through a continuous dialogue between tacit and explicit knowledge. The nature of this dialogue is examined and four patterns of interaction involving tacit and explicit knowledge are identified. It is argued that while new knowledge is developed by individuals, organizations play a critical role in articulating and amplifying that knowledge. A theoretical framework is developed which provides an analytical perspective on the constituent dimensions of knowledge creation. This framework is then applied in two operational models for facilitating the dynamic creation of appropriate organizational knowledge.

17,196 citations

Journal ArticleDOI
TL;DR: Much of what constitutes the core of scientific knowledge may be regarded as a reservoir of concepts and techniques which can be drawn upon to construct mathematical models of various types of systems and thereby yield quantitative information concerning their behavior.

12,530 citations

Book
01 Jan 1987
TL;DR: This book presents a meta-coding pedagogical architecture grounded in awareness contexts that helps practitioners and students understand one another better and take responsibility for one another's learning.
Abstract: The teaching of qualitative analysis in the social sciences is rarely undertaken in a structured way. This handbook is designed to remedy that and to present students and researchers with a systematic method for interpreting qualitative data', whether derived from interviews, field notes, or documentary materials. The special emphasis of the book is on how to develop theory through qualitative analysis. The reader is provided with the tools for doing qualitative analysis, such as codes, memos, memo sequences, theoretical sampling and comparative analysis, and diagrams, all of which are abundantly illustrated by actual examples drawn from the author's own varied qualitative research and research consultations, as well as from his research seminars. Many of the procedural discussions are concluded with rules of thumb that can usefully guide the researchers' analytic operations. The difficulties that beginners encounter when doing qualitative analysis and the kinds of persistent questions they raise are also discussed, as is the problem of how to integrate analyses. In addition, there is a chapter on the teaching of qualitative analysis and the giving of useful advice during research consultations, and there is a discussion of the preparation of material for publication. The book has been written not only for sociologists but for all researchers in the social sciences and in such fields as education, public health, nursing, and administration who employ qualitative methods in their work.

11,846 citations