Nonlinearity, Complexity and Randomness in Economics: Towards Algorithmic F

Nonlinearity, Complexity and Randomness in Economics 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.

Features an interdisciplinary collection of papers by economists, scientists, and philosophers
Presents new approaches to macroeconomic modelling, agent-based modelling, financial markets, and emergent complexity
Reveals how economics today must be based on algorithmic, computable mathematical foundations