In mainstream economics, and particularly in New Keynesian macroeconomics, the booms and busts that characterize capitalism arise because of large external shocks. The combination of these shocks and the slow adjustments of wages and prices by rational agents leads to cyclical movements. In this book, Paul De Grauwe argues for a different macroeconomics model--one that works with an internal explanation of the business cycle and factors in agents' limited cognitive abilities. By creating a behavioral model that is not dependent on the prevailing concept of rationality, De Grauwe is better able to explain the fluctuations of economic activity that are an endemic feature of market economies. This new approach illustrates a richer macroeconomic dynamic that provides for a better understanding of fluctuations in output and inflation.

De Grauwe shows that the behavioral model is driven by self-fulfilling waves of optimism and pessimism, or animal spirits. Booms and busts in economic activity are therefore natural outcomes of a behavioral model. The author uses this to analyze central issues in monetary policies, such as output stabilization, before extending his investigation into asset markets and more sophisticated forecasting rules. He also examines how well the theoretical predictions of the behavioral model perform when confronted with empirical data. Develops a behavioral macroeconomic model that assumes agents have limited cognitive abilities Shows how booms and busts are characteristic of market economies Explores the larger role of the central bank in the behavioral model Examines the destabilizing aspects of asset markets

Decision analysis integrates insights and techniques from economics, probability, and cognitive psychology for the purpose of making good decisions. This book presents practical advice for decision making in all these contexts. It offers step-by-step procedures for defining the problem, identifying objectives, identifying alternatives, forecasting each alternative's potential, comparing forecasts, and choosing the most favorable alternative. A student-friendly guide, it incorporates DPL decision support software and practical, balanced coverage.

Kids love exploring new ways of solving problems, especially in fun and challenging puzzle formats. In Math and Logic Puzzles That Make Kids Think!, the author presents several variations on Sudoku-the most well-known type of logic puzzle-in an easy-to-use, exciting format perfect for any math classroom. These language-independent logic puzzles provide kids with great problems to stretch how they think and reason. Each puzzle variation utilizes some of the basic strategies of Sudoku puzzles, but each one also draws upon other areas of mathematics-ordering of numbers, properties of geometric shapes, basic operations, or enriched number sense. This book provides teachers with puzzles arranged by difficulty level that can be used to support and enhance students' mathematical investigations. It also provides a new and exciting context for the development of students' deductive reasoning skills, which can lay the foundation for further mathematical exploration. Grades 6-8

Winning takes many forms. For fans of Matthew Syed, this is a great sports book about leadership, judgement and decision-making - rooted in the theory that helped Ed Smith lead England cricket to sustained success. And to help us all win more. 'An absolutely fascinating book' THE GAME, The Times football pod How do you spot the opportunities that others miss? How do you turn a team's performance around? How do you make good decisions amid a tidal wave of information? And how can you improve? As chief selector for the England cricket team, Ed Smith pioneered new methods for building successful teams and watched his decisions tested in real time on the pitch. During his three-year tenure, England averaged 7 wins in every 10 completed matches, better than they have performed before or since. Making Decisions reveals Smith's unique approach to finding success in a fast-changing and increasingly data-reliant world. The best decisions, Smith argues, rely on a combination of differing kinds of intelligence: from algorithms to intuition. This is a truth that the most successful people know: data cannot account for everything, it must be harnessed with human insight. Whatever the power of data, humans aren't finished yet. Sharing for the first time the tools he introduced as England selector, Smith's book captures the immediacy of life at the sharp end, while also exploring frameworks from the top levels of sports, business and the arts. Decision-making is revealed as a creative enterprise, not a reductive system. Making Decisions offers an invaluable guide for those who want a better framework for developing, explaining and implementing new ideas.

This book is about improving human decision making and performance in complex, dynamic tasks. The defining characteristics of a dynamic decision task are that there are a number of decisions required, that decisions are interdependent and that the environment in which the decision is made is transient and feedback is pervasive. Examples of dynamic tasks include the sustainable management of renewable resources and how businesses might allocate resources for research and development (R&D) projects. Decision making in dynamic tasks can be improved through training with system dynamics-based interactive learning environments (ILE's) that include systematic debriefing. Some key features of the book include its didactic approach, numerous tables, figures, and the multidimensional evaluative model. Researchers can use the developed "evaluation model" to gauge various decision-aiding technologies. How to Improve Human Performance in Dynamic Tasks appeals to those interested in the design and evaluation of simulation-based decision support systems, as well as policy makers, students, researchers, and industrialists concerned by the issue of improving human performance in organizational tasks.

This is an introduction to a flexible tool for use in strategic management within a competitive environment. Based upon ideas from both graph theory and game theory, the method offers several distinct advantages. It can handle a finite number of decision-makers, each of whom controls a number of actions. The graph model can describe and distinguish reversible and irreversible moves. Most importantly, the graph model forms a solid framework upon which solution concepts for describing human behaviour can be defined, assessed and compared This book is accompanied by a computer disk, which is explained and illustrated in the appendix. In addition, the text provides a summary of how to apply the graph model to practical problems Each chapter concludes with a set of problems, which serve to clarify important points and ensure comprehension

Eine Ausbildung zum Beruf ist meist die Grundvoraussetzung fur eine erfolgreiche Berufsbiografie. Fur Jugendliche werden jedoch auch oft Ausbildungsangebote geschaffen, die sich zwar an Berufskriterien orientieren, jedoch nicht immer zu gesellschaftlich anerkannten Berufsabschlussen fuhren. Unter anderem werden zeitlich verkurzte Formen der Berufsausbildung entwickelt, um bestimmten Zielgruppen den Berufseinstieg zu erleichtern oder Beschaftigungsfelder mit geringeren Qualifikationsanforderungen zu erschliessen. Der Band stellt empirische Untersuchungen und theoretische Diskussionen aus Deutschland, OEsterreich und der Schweiz zu verkurzten Berufsausbildungen vor, um Wirkungen und Effekte der Konzeptionen zu erschliessen und zu bewerten. Die Buchbeitrage gehen insbesondere der Frage nach, welche Formen der Berufsausbildung als Ausbildung zum Beruf angesehen werden koennen.

A law professor and author teaches non-attorneys how to think like a lawyer to gain advantage in their lives-whether buying a house, negotiating a salary, or choosing the right healthcare. Lawyers aren't like other people. They often argue points that are best left alone or look for mistakes in menus "just because." While their scrupulous attention to detail may be annoying, it can also be a valuable skill. Do you need to make health care decisions for an aging parent but are unsure where to start? Are you at crossroads in your career and don't know how to move forward? Have you ever been on a jury trying to understand confusing legal instructions? How to Think Like a Lawyer has the answers to help you cut through the confusion and gain an advantage in your everyday life. Kim Wehle identifies the details you need to pay attention to, the questions you should ask, the responses you should anticipate, and the pitfalls you can avoid. Topics include: Selling and buying a home Understanding employment terms Creating a will and health care proxy Navigating health concerns Applying for financial aid Negotiating a divorce Wehle shows you how to break complex issues down into digestible, easier-to-understand pieces that will enable you to make better decisions in all areas of your life.

Many of the complex problems faced by decision makers involve uncertainty as well as multiple conflicting objectives. This book provides a complete understanding of the types of objective functions that should be used in multiattribute decision making. By using tools such as preference, value, and utility functions, readers will learn state-of-the-art methods to analyze prospects to guide decision making and will develop a process that guarantees a defensible analysis to rationalize choices. Summarizing and distilling classical techniques and providing extensive coverage of recent advances in the field, the author offers practical guidance on how to make good decisions in the face of uncertainty. This text will appeal to graduate students and practitioners alike in systems engineering, operations research, business, management, government, climate change, energy, and healthcare.

Individual decision making can often be wrong due to misinformation, impulses, or biases. Collective decision making, on the other hand, can be surprisingly accurate. In Democratic Reason, Helene Landemore demonstrates that the very factors behind the superiority of collective decision making add up to a strong case for democracy. She shows that the processes and procedures of democratic decision making form a cognitive system that ensures that decisions taken by the many are more likely to be right than decisions taken by the few. Democracy as a form of government is therefore valuable not only because it is legitimate and just, but also because it is smart. Landemore considers how the argument plays out with respect to two main mechanisms of democratic politics: inclusive deliberation and majority rule. In deliberative settings, the truth-tracking properties of deliberation are enhanced more by inclusiveness than by individual competence. Landemore explores this idea in the contexts of representative democracy and the selection of representatives. She also discusses several models for the "wisdom of crowds" channeled by majority rule, examining the trade-offs between inclusiveness and individual competence in voting. When inclusive deliberation and majority rule are combined, they beat less inclusive methods, in which one person or a small group decide. Democratic Reason thus establishes the superiority of democracy as a way of making decisions for the common good.

Over the last 25 years, evolutionary game theory has grown with theoretical contributions from the disciplines of mathematics, economics, computer science and biology. It is now ripe for applications. In this book, Daniel Friedman--an economist trained in mathematics--and Barry Sinervo--a biologist trained in mathematics--offer the first unified account of evolutionary game theory aimed at applied researchers. They show how to use a single set of tools to build useful models for three different worlds: the natural world studied by biologists; the social world studied by anthropologists, economists, political scientists and others; and the virtual world built by computer scientists and engineers. The first six chapters offer an accessible introduction to core concepts of evolutionary game theory. These include fitness, replicator dynamics, sexual dynamics, memes and genes, single and multiple population games, Nash equilibrium and evolutionarily stable states, noisy best response and other adaptive processes, the Price equation, and cellular automata. The material connects evolutionary game theory with classic population genetic models, and also with classical game theory. Notably, these chapters also show how to estimate payoff and choice parameters from the data. The last eight chapters present exemplary game theory applications. These include a new coevolutionary predator-prey learning model extending rock-paper-scissors; models that use human subject laboratory data to estimate learning dynamics; new approaches to plastic strategies and life cycle strategies, including estimates for male elephant seals; a comparison of machine learning techniques for preserving diversity to those seen in the natural world; analyses of congestion in traffic networks (either internet or highways) and the "price of anarchy "; environmental and trade policy analysis based on evolutionary games; the evolution of cooperation; and speciation. As an aid for instruction, a web site provides downloadable computational tools written in the R programming language, Matlab, Mathematica and Excel.