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Leonid Hurwicz: Intelligent Designer
“A fascinating, exciting story.” — Sylvia Nasar, author of A Beautiful Mind While still in his early 20s, and under Hitler's shadow, Leonid “Leo” Hurwicz (1917-2008) left his home in Warsaw, Poland, seeking safety and a degree at the London School of Economics. The following years, while challenging and potentially life-threatening, contained the seeds of a lifelong intellectual adventure. Leo's story is personal (born a refugee, precarious war years for himself and his Polish-Jewish family, a new life in America), global (revolutions, wars, depressions), ideological (socialism, capitalism, economic planning, free markets) and professional (a sixty-year career as a professor of economics leading ultimately to a Nobel Prize). This book tells his story.
Designing Economic Mechanisms
A mechanism is a mathematical structure that models institutions through which economic activity is guided and coordinated. There are many such institutions; markets are the most familiar ones. Lawmakers, administrators and officers of private companies create institutions in order to achieve desired goals. They seek to do so in ways that economize on the resources needed to operate the institutions, and that provide incentives that induce the required behaviors. This book presents systematic procedures for designing mechanisms that achieve specified performance, and economize on the resources required to operate the mechanism. The systematic design procedures are algorithms for designing informationally efficient mechanisms. Most of the book deals with these procedures of design. When there are finitely many environments to be dealt with, and there is a Nash-implementing mechanism, our algorithms can be used to make that mechanism into an informationally efficient one. Informationally efficient dominant strategy implementation is also studied.
Social Design
This book contains invited essays in memory of Leonid Hurwicz spanning a large area of economic, social and other sciences where the implementation or enforcement of institutions and rules requires the design of effective mechanisms. The foundations of these articles are set by social choice concepts; game theory; Nash, Bayesian and Walrasian equilibria; complete and incomplete information. Besides in-depth treatments of well-established parts of mechanism and implementation theory, contributions on novel directions deal, for instance, with a quantum approach to game and decision making under uncertainty; digitalization; and the design of block chain for trading. The outstanding competence and reputation of the authors reflect the appreciation of the fundamental contributions and the lasting admiration of the personality and the work of Leonid Hurwicz.
Information, Incentives, and Economic Mechanisms
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Traces and Emergence of Nonlinear Programming
The book contains reproductions of the most important papers that gave birth to the first developments in nonlinear programming. Of particular interest is W. Karush's often quoted Master Thesis, which is published for the first time. The anthology includes an extensive preliminary chapter, where the editors trace out the history of mathematical programming, with special reference to linear and nonlinear programming.
The Diversity Bonus
A book about how businesses and other organizations can improve their performance by tapping the power of differences in how people think. What if workforce diversity is more than simply the right thing to do? What if it can also improve the bottom line? Because it can. The autuor presents overwhelming evidence: teams that include different kinds of thinkers outperform homogenous groups on complex tasks, producing what he calls diversity bonuses. These bonuses include improved problem solving, increased innovation, and more accurate predictions - all of which lead to better results. Drawing on research in economics, psychology, computer science, and many other fields, the book also tells the stories of businesses and organizations that have tapped the power of diversity to solve complex problems. The result changes the way we think about diversity at work-and far beyond
The Model Thinker
Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja. From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.
