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.
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.
An Invitation to Cognitive Science provides a point of entry into the vast realm of cognitive science by treating in depth examples of issues and theories from many subfields. The first three volumes of the series cover Language, Visual Cognition, and Thinking.
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.
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.
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.
