Computational Economics: A Perspective from Computational IntelligenceComputational Economics: A Perspective from Computational Intelligence provides models of various economic and financial issues while using computational intelligence as a foundation. The scope of this volume comprises finance, economics, management, organizational theory and public policies. It explains the ongoing and novel research in this field, and displays the power of these computational methods in coping with difficult problems with methods from traditional perspectives. By encouraging the discussion of different views, this book serves as an introductory and inspiring volume that helps to flourish studies in computational economics. |
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agents analysis applied approach artificial neural networks assets average basket option behavior bid-ask spread capital controls chapter Chen convergence Copying or distributing correlation coefficients cost estimating data set dealer decision developed distributing in print double auction dynamic economic electronic forms engine tests evaluation exchange controls financial time series fitness function forecast forms without written fuzzy genetic algorithms gradient hedging errors hidden layer Idea Group Inc influence diagram input inter-organizational inventory investment Journal loss function market maker membership functions method minimization node nonlinear optimal organizational output parameters payoff performance surface portfolio prediction print or electronic problem profit reinforcement learning relationship risk seller simulation speculators statistical strategic alliance structure techniques testing set theory trading strategies transaction prices update variables wavelet coefficients wavelet correlation measure weights written Figure zero ZI-C ZIP traders