Nonlinearity, Complexity And Randomness In Economics: Towards Algorithmic Foundations for Economics

<i>Nonlinearity, Complexity and Randomness in Economics</i> presents a variety of papers by leading economists, scientists, and philosophers who focus on different aspects of nonlinearity, complexity and randomness, and their implications for economics. A theme of the book is that economics should be based on algorithmic, computable mathematical foundations.<br /> <br /> <ul> <li>Features an interdisciplinary collection of papers by economists, scientists, and philosophers<br /> </li> <li>Presents new approaches to macroeconomic modelling, agent-based modelling, financial markets, and emergent complexity<br /> </li> <li>Reveals how economics today must be based on algorithmic, computable mathematical foundations</li> </ul>