Difference between revisions of "Agent-based computational economics"
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Revision as of 13:27, 18 June 2012
Resarch
Main pillars of ACE resarch[1]:
- Empirical
- Normative
- Qualitativ insight and theory generation
- Methodological advancement
Empirical
This area area stands for explaining possible reasons for observed regularities.
Other computing methods
- Linear Equations and Iterative Methods (Currently empty)
- Optimization
- Nonlinear Equations
- Approximation
- Numerical Integration and Differentiation
- Monte Carlo and Simulation Methods (Currently empty)
- Quasi-Monte Carlo Methods (Currently empty)
- Finite Difference Methods (Currently empty)
- Projection Methods for Functional Equations (Currently empty)
- Numerical Dynamic Programming (Currently empty)
- Regular Perturbations of Simple Systems (Currently empty)
- Regular Perturbations in Multidimensional Systems (Currently empty)
- Advanced Asymptotic Methods (Currently empty)
- Solution Methods for Perfect Foresight Models (Currently empty)
- Solving Rational Expectations Models
References
- ↑ TESFATSION, Leigh. Agent-Based Computational Economics: Growing Economies from the Bottom Up. IOWA STATE UNIVERSITY. Agent-Based Computational Economics [online]. 2012-05-02, 2012-05-02 [cit. 2012-06-18]. Dostupné z: http://www2.econ.iastate.edu/tesfatsi/ace.htm
