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Theory of Knowledge

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In this impressive second edition of Theory of Knowledge, Keith Lehrer introduces students to the major traditional and contemporary accounts of knowing. Beginning with the traditional definition of knowledge as justified true belief, Lehrer explores the truth, belief, and justification conditions on the way to a thorough examination of foundation theories of knowledge,the work of Platinga, externalism and naturalized epistemologies, internalism and modern coherence theories, contextualism, and recent reliabilist and causal theories. Lehrer gives all views careful examination and concludes that external factors must be matched by appropriate internal factors to yield knowledge. This match of internal and external factors follows from Lehrer's new coherence theory of undefeated justification. In addition to doing justice to the living epistemological traditions, the text smoothly integrates several new lines that will interest scholars. Also, a feature of special interest is Lehrer's concept of a justification game.This second edition of Theory of Knowledge is a thoroughly revised and updated version that contains several completely new chapters. Written by a well-known scholar and contributor to modern epistemology, this text is distinguished by clarity of structure, accessible writing, and an elegant mix of traditional material, contemporary ideas, and well-motivated innovation.

224 pages, Paperback

First published March 29, 1990

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Keith Lehrer

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Displaying 1 - 2 of 2 reviews
8 reviews
October 23, 2025
The author argues the status and the characteristics of knowledge, distinctly, from various perspectives. Whether one agrees or not, this book is useful for us, since we are in the age of fake news, generative AI, and so on. When the author had written this book, he couldn't imagine such the world at all(published in 1990!). So, I notice that epistemology nowadays should be not only theoretical but practical. That I was impressed from this book is to know something is not just to have information. We need more. Even if AI can reply anything frequently, they know nothing. We must keep this in mind carefully.
Displaying 1 - 2 of 2 reviews