Nonlinearity, Complexity and Randomness in Economics

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The "great crash of 2008" and its associated banking crisis have revealed the limitations of mainstream economics. While exposing the increasing irrelevance of the field, they have forced a number of economists to re-examine their discipline. The financial meltdown also showed how traditional linear or linearised models with well-behaved additive stochastic disturbances, based on orthodox "microeconomic foundations", are not adequate to deal with the complexities of today's world. Nonlinearity, Complexity and Randomness in Economics presents a variety of cutting edge papers by leading economists, scientists, and philosophers. Topics explored include nonlinear macroeconomic modelling, agent-based modelling, information-theoretic modelling of financial markets, bounded rationality, and emergent complexity. Utilizing an interdisciplinary approach, Nonlinearity, Complexity and Randomness in Economics reveals how true intellectual rigour in economics requires a basis in algorithmic, computable mathematical foundations.

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