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