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 convergence Copying or distributing correlation coefficients correlation measure cost estimating data set dealer decision developed distributing in print double auction double auction market dynamic economic electronic forms engine tests equilibrium price evaluation exchange controls fitness function forecast forms without written fuzzy genetic algorithms hedging errors Idea Group Inc influence diagram input inter-organizational inventory investment Journal layer linear loss function market maker market microstructure membership functions method minimization node nonlinear optimal organizational output parameters payoff portfolio prediction print or electronic probability problem profit reinforcement learning relationship resource risk seller simulation speculators statistical Stennis Space Center strategic alliance structure theory transaction prices update utility function variables wavelet coefficients wavelet correlation weights written Figure zero ZI-C ZIP traders