The Foundations of Knowing PDF Download

Author: Roderick M. Chisholm
Publisher:
ISBN: 9780608008349
Category :
Languages : en
Pages : 216

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Book Description
Minnesota Archive Editions uses digital technology to make long-unavailable books once again accessible to scholars, students, researchers, and general readers. Rich with historical and cultural value, these works are published unaltered from the original University of Minnesota Press editions. The books offered through Minnesota Archive Editions are produced in limited quantities according to customer demand and are available through select distribution partners.

Author: Timothy J. McGrew
Publisher: Rowman & Littlefield
ISBN: 9780822630425
Category : Philosophy
Languages : en
Pages : 178

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Book Description
Contemporary epistemology has been moving away from classical foundationalism--the thesis that our empirical knowledge is grounded in perceptual beliefs we know with certainty. McGrew reexamines classical foundationalism and offers a compelling reconstruction and defense of empirical knowledge grounded in perceptual certainty. He articulates and defends a new version of foundationalism and demonstrates how it meets all the standard criticisms. The book offers substantial rebuttals of the arguments of Kuhn and Rorty and demonstrates the value of the classical analytic approach to philosophy. Foundations will interest philosophers of science, language, and the mind.

Author: Steve Fuller
Publisher: Routledge
ISBN: 1136389822
Category : Business & Economics
Languages : en
Pages : 293

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Book Description
'Knowledge Management Foundations' is just what it claims, the first attempt to provide a secure intellectual footing for the myriad of practices called "knowledge management." A breath of fresh air from the usual KM gurus, Fuller openly admits that the advent of KM is a mixed blessing that often amounts to the conduct of traditional management by subtler means. However, Fuller's deep understanding of both the history of management theory and knowledge production more generally enables him to separate the wheat from the chaff of the KM literature. This ground-breaking book will prove of interest to both academics and practitioners of knowledge management. It highlights the ways in which KM has challenged the values associated with knowledge that academics have taken for granted for centuries. At the same time, Fuller resists the conclusion of many KM gurus, that the value of knowledge lies in whatever the market will bear in the short term. He pays special attention to how information technology has not only facilitated knowledge work but also has radically altered its nature. There are chapters devoted to the revolution in intellectual property and an evaluation of peer review as a quality control mechanism. The book culminates in a positive re-evaluation of universities as knowledge producing institutions from which the corporate sector still has much to learn.

Author: Mehryar Mohri
Publisher: MIT Press
ISBN: 0262351366
Category : Computers
Languages : en
Pages : 505

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Book Description
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review. This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.

Author: Steve Patterson
Publisher: Createspace Independent Publishing Platform
ISBN: 9781540402783
Category :
Languages : en
Pages : 136

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Book Description
"Truth is discoverable. I'm certain of it. It's not popular to say. It's not popular to think. But I know it's true." So begins an examination into the most fundamental questions in philosophy. Does objective truth exist? Can we know anything with certainty? Are there true logical contradictions? Steve Patterson answers emphatically, "We can know absolute, certain, and objective truths. These truths serve as the foundation for the rest of our knowledge." Square One is an examination of knowledge, logic, and the extreme skepticism that permeates modern thinking. It contains several refutations to popular attacks on human reason, including a resolution to the Liar's Paradox. Patterson writes in an easy-to-read, non-academic style. There's no jargon or long-winded pontificating about ideas that don't matter. This book is a response to those who insist, "Truth cannot be known."

Author: Bradford Cornell
Publisher: John Wiley & Sons
ISBN: 1119516293
Category : Business & Economics
Languages : en
Pages : 256

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Book Description
The need-to-know essentials of investing This book explains the conceptual foundations of investing to improve investor performance. There are a host of investment mistakes that can be avoided by such an understanding. One example involves the trade-off between risk and return. The trade-off seems to imply that if you bear more risk you will have higher long-run average returns. That conclusion is false. It is possible to bear a great deal of risk and get no benefit in terms of higher average return. Understanding the conceptual foundations of finance makes it clear why this is so and, thereby, helps an investor avoid bearing uncompensated risks. Another choice every investor has to make is between active versus passive investing. Making that choice wisely requires understanding the conceptual foundations of investing. • Instructs investors willing to take the time to learn all of the concepts in layman’s terms • Teaches concepts without overwhelming readers with math • Helps you strengthen your portfolio • Shows you the fundamental concepts of active investing The Conceptual Foundations of Investing is ultimately for investors looking to understand the science behind successful investing.

Author: Frank van Harmelen
Publisher: Elsevier
ISBN: 0080557023
Category : Computers
Languages : en
Pages : 1035

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Book Description
Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily

Author: Laurie L. Hazard
Publisher: Prentice Hall
ISBN: 9780321871206
Category : Education
Languages : en
Pages : 208

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Book Description
This book is appropriate for courses in First-Year Experience, College Success, and Study Skills. The focus of Foundations for Learning is on academic adjustment with personal development issues seamlessly integrated into the academic emphasis theme of 'claiming an education' and taking responsibility for one's own education. Foundations for Learning addresses both the attitudinal variables and personality traits that affect college achievement like locus of control, conceptions of intelligence, and intellectual curiosity in relation to specific study-related behaviors such as text annotation and active listening. At its core, this text is based on the psychology of adjustment. Students are pushed to consider how each mindset, perception, and attitude connects with their skill sets, and how one influences the other. The text encourages students to use this insight to make the necessary adjustments to their new role as college students. It offers an acute awareness of first-year student needs, an intellectual approach, and a tight framework. It is primarily focused on the development of academic adjustment issues and meta-cognitive strategies as they naturally unfold during the first semester, as opposed to primarily focusing on social adjustment issues or issues that aren't immediately relevant such as career development and is written in a challenging yet accessible way. This revision covers emerging technologies, broadens its audience, and more.

Author: Roderick M. Chisholm
Publisher: Minneapolis : University of Minnesota Press
ISBN: 9780816611034
Category : Philosophy
Languages : en
Pages : 216

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Book Description
Minnesota Archive Editions uses digital technology to make long-unavailable books once again accessible to scholars, students, researchers, and general readers. Rich with historical and cultural value, these works are published unaltered from the original University of Minnesota Press editions. The books offered through Minnesota Archive Editions are produced in limited quantities according to customer demand and are available through select distribution partners.

Author: A J (Alfred Jules) 1910-1989 Ayer
Publisher: Hassell Street Press
ISBN: 9781014094056
Category :
Languages : en
Pages : 296

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Book Description
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.