Games People Play: Game Theory in Life, Business, and Beyond (24 lectures, 30 minutes/lecture)
Ever since modern game theory—the scientific study of interactive, rational decision making—achieved prominence in the mid-20th century, it has proven instrumental in helping us understand how and why we make decisions.
Game theory plays a crucial role in our lives and provides startling insights into all endeavors in which humans cooperate or compete, including biology, computer science, politics, agriculture, and, most importantly, economics.

This unique book offers an original way of thinking about two of the most significant problems confronting modern theoretical physics: the unification of the forces of nature and the evolution of the universe. In bringing out the inadequacies of the prevailing approach to these questions, the author demonstrates the need for more than just a new theory. The meanings of space and time themselves must be radically rethought, which requires a whole new philosophical foundation.

Phi-features, such as person, number, and gender, present a rare opportunity for syntacticians, morphologists and semanticists to collaborate on a research enterprise in which they all have an equal stake and which they all approach with data and insights from their own fields. This volume is the first to attempt to bring together these different strands and styles of research. It presents the core questions, major results, and new directions of this emergent area of linguistic theory and shows how Phi Theory casts light on the nature of interfaces and the structure of the grammar. The book will interest scholars and students of all aspects of linguistic theory at graduate level and above.

This book is in two parts. The first is a text on logic as seen through Richard Martin's eyes. It alone makes this book worth the price. In his 1941 Yale PhD, Martin discovered the theory of virtual sets and relations. The discussion of this theory in chpts. 1&2 is the best there is. (Quine discovered this theory independently while writing up his 1942 Brazil lectures, but never truly did it justice.)

This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004.

The 46 revised full papers presented were carefully reviewed and selected from a total of 113 submissions. The papers are organized in topical sections on economics and game theory, online learning, inductive inference, probabilistic models, Boolean function learning, empirical processes, MDL, generalisation, clustering and distributed learning, boosting, kernels and probabilities, kernels and kernel matrices, and open problems.