The Nature of Morality: An Introduction to Ethics

Contains an overall account of morality in its philosophical format particularly with regard to problems of observation, evidence, and truth.

Politics & Social Sciences

Harman, Gilbert

Philosophy

Oxford Univ. Pr.

Reasoning, Meaning, and Mind

In this important new collection, Gilbert Harman presents a selection of fifteen interconnected essays on fundamental issues at the center of analytic philosophy. The book opens with a group of four essays discussing basic principles of reasoning and rationality. The next three essays argue against the once popular idea that certain claims are true and knowable by virtue of meaning. In the third group of essays Harman presents his own view of meaning and the possibility of thinking in language. The final three essays investigate the nature of mind, developing further the themes already set out. Reasoning, Meaning, and Mind offers an integrated presentation of this rich and influential body of work, which Harman has developed over thirty years.

Oxford University Press

In this important new collection, Gilbert Harman presents a selection of fifteen interconnected essays on fundamental issues at the center of analytic philosophy. The book opens with a group of four essays discussing basic principles of reasoning and rationality. The next three essays argue against the once popular idea that certain claims are true and knowable by virtue of meaning. In the third group of essays Harman presents his own view of meaning and the possibility of thinking in language The final three essays investigate the nature of mind, developing further the themes already set out. Reasoning, Meaning, and Mind offers an integrated presentation of this rich and influential body of work. which Harman has developed over thirty years.

Explaining Value: and Other Essays in Moral Philosophy

Explaining Value is a selection of the best of Gilbert Harman's shorter writings in moral philosophy. The thirteen essays are divided into four sections, which focus in turn on moral relativism, values and valuing, character traits and virtue ethics, and ways of explaining aspects of morality. Harman's distinctive approach to moral philosophy has provoked much interest; this volume offers a fascinating conspectus of his most important work in the area.

Clarendon Press

Change in View offers an entirely original approach to the philosophical study of reasoning by identifying principles of reasoning with principles for revising one's beliefs and intentions and not with principles of logic.

Change in view: Principles of reasoning

MIT Press]

In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni -- a philosopher and an engineer -- argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors -- a central topic in SLT.
After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.

Reliable Reasoning: Induction and Statistical Learning Theory (Jean Nicod Lecture Series)

Health, Fitness & Dieting

Kulkarni, Sanjeev

Mental Health

Bradford Books

The implications for philosophy and cognitive science of developments in statistical learning theory.
In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni―a philosopher and an engineer―argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors―a central topic in SLT.
After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.

Reliable Reasoning: Induction and Statistical Learning Theory (Jean Nicod Lectures)

Change in View offers an entirely original approach to the philosophical study of reasoning by identifying principles of reasoning with principles for revising one's beliefs and intentions and not with principles of logic. This crucial observation leads to a number of important and interesting consequences that impinge on psychology and artificial intelligence as well as on various branches of philosophy, from epistemology to ethics and action theory.

Change in View: Principles of Reasoning (Bradford Book)

Psychology & Counseling

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inference. Promoting the fundamental goal of statistical learning, knowing what is achievable and what is not, this book demonstrates the value of a systematic methodology when used along with the needed techniques for evaluating the performance of a learning system. First, an introduction to machine learning is presented that includes brief discussions of applications such as image recognition, speech recognition, medical diagnostics, and statistical arbitrage. To enhance accessibility, two chapters on relevant aspects of probability theory are provided. Subsequent chapters feature coverage of topics such as the pattern recognition problem, optimal Bayes decision rule, the nearest neighbor rule, kernel rules, neural networks, support vector machines, and boosting. Appendices throughout the book explore the relationship between the discussed material and related topics from mathematics, philosophy, psychology, and statistics, drawing insightful connections between problems in these areas and statistical learning theory. All chapters conclude with a summary section, a set of practice questions, and a reference sections that supplies historical notes and additional resources for further study. An Elementary Introduction to Statistical Learning Theory is an excellent book for courses on statistical learning theory, pattern recognition, and machine learning at the upper-undergraduate and graduate levels. It also serves as an introductory reference for researchers and practitioners in the fields of engineering, computer science, philosophy, and cognitive science that would like to further their knowledge of the topic.

An Elementary Introduction to Statistical Learning Theory

Science & Math

Mathematics

wiley

See the best price to sell, buy, or rent books by Harman, Gilbert. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Harman, Gilbert

See the best price to sell, buy, or rent books by Harman, Gilbert. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

The Nature of Morality: An Introduction to Ethics

Reasoning, Meaning, and Mind

Reasoning, Meaning, and Mind

Explaining Value: and Other Essays in Moral Philosophy

Explaining Value: and Other Essays in Moral Philosophy

Change in view: Principles of reasoning

Reliable Reasoning: Induction and Statistical Learning Theory (Jean Nicod Lecture Series)

Reliable Reasoning: Induction and Statistical Learning Theory (Jean Nicod Lectures)

Change in View: Principles of Reasoning (Bradford Book)

An Elementary Introduction to Statistical Learning Theory