This second edition of Syntactic Theory: A Formal Introduction expands and improves upon a truly unique introductory syntax textbook. Like the first edition, its focus is on the development of precisely formulated grammars whose empirical predictions can be directly tested. There is also considerable emphasis on the prediction and evaluation of grammatical hypotheses, as well as on integrating syntactic hypotheses with matters of semantic analysis.
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.
Einstein said that the most incomprehensible thing about the universe is that it is comprehensible. But was he right? Can the quantum theory of fields and Einstein's general theory of relativity, the two most accurate and successful theories in all of physics, be united in a single quantum theory of gravity? Can quantum and cosmos ever be combined? On this issue, two of the world's most famous physicists--Stephen Hawking (A Brief History of Time) and Roger Penrose (The Emperor's New Mind and Shadows of the Mind)--disagree.
A single system of economic governance – capitalism – prevails in the world today, both in theory and in practice. Yet there is neither a standard definition of capitalism nor a theory of how it works. Moreover, the most common conception of capitalism is that of a one-level system governed by markets, i.e., supply and demand, where many socioeconomic externalities are ignored. The purpose of this book is to counter this conception, showing that capitalism is more than markets.
Researching Education: data, methods and theory in educational enquiry
This book examines the theory and practice of researching education, focusing on the philosophical, historical, political and social contexts of research and the implications of these for the collection and analysis of data.
