Nonlinearity, Complexity and Randomness in Economics

Towards Algorithmic Foundations for Economics
The "great crash of 2008" and its associated banking crisis have revealed the limitations of mainstream economics. Nonlinearity, Complexity and Randomness in Economics presents a variety of cutting edge papers by leading economists, scientists, and philosophers.
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

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