Formal learning theory is one of several mathematical approaches to the study of intelligent adaptation to the environment. The analysis developed in this book is based on a number theoretical approach to learning and uses the tools of recursive-function theory to understand how learners come to an accurate view of reality. This revised and expanded edition of a successful text provides a comprehensive, self-contained introduction to the concepts and techniques of the theory. Exercises throughout the text provide experience in the use of computational arguments to prove facts about learning.

Systems That Learn - 2nd Edition: An Introduction to Learning Theory (Learning, Development, and Conceptual Change)

Computers & Technology

Osherson, Daniel N.

Sharma, Arun

Royer, James S.

Computer Science

Bradford Books

One influential view of science focuses on the credibility that scientists attach to alternative theories and on the evolution of these credibilities under the impact of data. Interpreting credibility as probability leads to the Bayesian analysis of inquiry, which has helped us to understand diverse aspects of scientific practice. Eric Martin and Daniel N. Osherson take as their starting point a different set of intuitions about the variables to be retained in a model of inquiry. They present a theory of inductive logic that is built from the tools of logic and model theory. Their aim is to extend the mathematics of Formal Learning Theory to a more general setting and to provide a more accurate image of empirical inquiry. In particular, their theory integrates recent ideas in the theory of rational belief change. The formal results of their study illuminate aspects of scientific inquiry that are not covered by the Bayesian approach.  Exercises appear throughout the text; solutions are provided in an appendix.

Elements of Scientific Inquiry

Health, Fitness & Dieting

Martin, Éric

Mental Health

Systems that learn: An introduction to learning theory for cognitive and computer scientists (The MIT Press series in learning, development, and conceptual change)

Operating Systems

MIT Press]

An Invitation to Cognitive Science, Vol 3 Thinking (v. 3)

An Invitation to Cognitive Science, Vol 3 Thinking

Psychology & Counseling

Mit Pr

An Invitation to Cognitive Science provides a point of entry into the vast realm of cognitive science, offering selected examples of issues and theories from many of its subfields. All of the volumes in the second edition contain substantially revised and as well as entirely new chapters.Rather than surveying theories and data in the manner characteristic of many introductory textbooks in the field, An Invitation to Cognitive Science employs a unique case study approach, presenting a focused research topic in some depth and relying on suggested readings to convey the breadth of views and results. Each chapter tells a coherent scientific story, whether developing themes and ideas or describing a particular model and exploring its implications.The volumes are self contained and can be used individually in upper-level undergraduate and graduate courses ranging from introductory psychology, linguistics, cognitive science, and decision sciences, to social psychology, philosophy of mind, rationality, language, and vision science.

Thinking (An Invitation to Cognitive Science, Vol. 3)

Smith, Edward E.

One influential view of science focuses on the credibility that scientists attach to alternative theories and on the evolution of these credibilities under the impact of data. Interpreting credibility as probability leads to the Bayesian analysis of inquiry, which has helped us to understand diverse aspects of scientific practice. Eric Martin and Daniel N. Osherson take as their starting point a different set of intuitions about the variables to be retained in a model of inquiry. They present a theory of inductive logic that is built from the tools of logic and model theory. Their aim is to extend the mathematics of Formal Learning Theory to a more general setting and to provide a more accurate image of empirical inquiry. In particular, their theory integrates recent ideas in the theory of rational belief change. The formal results of their study illuminate aspects of scientific inquiry that are not covered by the Bayesian approach.Exercises appear throughout the text; solutions are provided in an appendix.

Elements of Scientific Inquiry (Bradford Books)

Science & Math

History & Philosophy

A mathematical framework for the study of learning in a variety of domains.Systems That Learn presents a mathematical framework for the study of learning in a variety of domains. It provides the basic concepts and techniques of learning theory as well as a comprehensive account of what is currently known about a variety of learning paradigms.

Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists (Mit Press Series in Learning, Development, and Conceptual Ch)

Weinstein, Scott

Stob, Michael

An Invitation to Cognitive Science, Vol 1: Language addresses the vast topic of cognitive science, offering selected examples of current issues and theories from many perspectives.

An Invitation to Cognitive Science, Vol. 3: Thinking

Logical Abilities in Children, (Child Psychology)

Halsted Press

Logical Inference -Op/62

John Wiley&Sons

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

Books by Osherson, Daniel N.