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Computational Economics

Overview

The Computational Intelligence and its Applications Series publishes academic work based either on one of the computational intelligence techniques or on applications of these techniques to a field of human endeavor. The books may be single author monographs, multiple author editions, conference proceedings, handbooks, or edited volumes by leading researchers with chapters contributed by researchers in the field. Computational Economics: A Perspective from Computational ...

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Overview

The Computational Intelligence and its Applications Series publishes academic work based either on one of the computational intelligence techniques or on applications of these techniques to a field of human endeavor. The books may be single author monographs, multiple author editions, conference proceedings, handbooks, or edited volumes by leading researchers with chapters contributed by researchers in the field. Computational Economics: A Perspective from Computational Intelligence is a part of this series.

Computational 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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Product Details

Table of Contents

Ch. I Financial modeling and forecasting with an evolutionary artificial neural network 1
Ch. II Pricing basket options with optimum wavelet correlation measures 34
Ch. III Influence diagram for investment portfolio selection 62
Ch. IV Minimal intelligence agents in double auction markets with speculators 79
Ch. V Optimization of individual and regulatory market strategies with genetic algorithms 99
Ch. VI Fundamental issues in automated market making 118
Ch. VII Slow learning in the market for lemons : a note on reinforcement learning and the winner's circle 149
Ch. VIII Multi-agent evolutionary game dynamics and reinforcement learning applied to online optimization for the traffic policy 161
Ch. IX Fuzzy-neural cost estimation for engine tests 178
Ch. X Computer-aided management of software developments in small companies 205
Ch. XI Modern organizationals and decision-making processes : a heuristic approach 217
Ch. XII An application of multi-agent simulation to policy appraisal in the criminal justice system 228
Ch. XIII Capital controls and firm's dynamics 235
Ch. XIV A physics of organizational uncertainty : perturbations, measurement and computational agents 268
Ch. XV Reducing agency problem and improving organizational value-based decision-making model of inter-organizational strategic alliance 290
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