Simulation is used in economics to solve large econometric
models, for large-scale micro simulations, and to obtain numerical
solutions for policy design in top-down established models. But
these applications fail to take advantage of the methods offered by
artificial economics (AE) through artificial intelligence and
distributed computing. AE is a bottom-up and generative approach of
agent-based modelling developed to get a deeper insight into the
complexity of economics. AE can be viewed as a very elegant and
general class of modelling techniques that generalize numerical
economics, mathematical programming and micro simulation
approaches. The papers presented in this book address
methodological questions and applications of AE to macroeconomics,
industrial organization, information and learning, market dynamics,
finance and financial markets.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!