Computational Economic Systems: Models, Methods & Econometrics - Tapa blanda

Sinopsis

Preface. Part One: Modeling Computational Economic Systems. Evolutionary Games and Genetic Algorithms; C.R. Birchenhall. The Emergence and Evolution of Self-Organized Coalitions; A. de Vany. Smart Systems and Simple Agents: Industry Pricing by Parallel and Genetic Strategies; R. Board, P.A. Tinsley. A Distributed Parallel Genetic Algorithm: An Application from Economic Dynamics; P.M. Beaumont, P.T. Bradshaw. Multi-Item Stochastic Inventory Models with Constraints and their Parallel Computation; Yuan Wang, Yuafan Deng. Building and Solving Multicriteria Models Involving Logical Conditions; R.L.V. Pinto, B. Rustem. Part Two: Computational Methods in Econometrics. Wavelets in Econometrics: An Application to Outlier Testing; S.A. Greenblatt. Linear versus Nonlinear Information Processing: A Look at Neural Networks; E. Barucci, et al. Solving Triangular Seemingly Unrelated Regression Equations Models on Massively Parallel Systems; E.J. Kontoghiorghes, E. Dinenis. Maximum Likelihood Estimation of Nonlinear Rational Expectations Models by Orthogonal Polynomial Projection Methods; M.J. Miranda. Structural Breaks and GARCH Modelling; S.G. Hall, M. Sola. Block Distributed Methods for Solving Multicountry Econometric Models; J. Faust, R. Tryon. Efficient Solution of Linear Equations Arising in a Nonlinear Economic Model; A.M. Bruaset. Solving Path-Dependent Rational Expectations Models Using the Fair-Taylor Method; F.J.H. Don, R.M.G. van Stratum. Author Index. Subject Index.

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