Computational Economics: A Perspective from Computational Intelligence, 1st Edition

  • Published By:
  • ISBN-10: 159140651X
  • ISBN-13: 9781591406518
  • Grade Level Range: College Freshman - College Senior
  • 318 Pages | eBook
  • Original Copyright 2005 | Published/Released October 2006
  • This publication's content originally published in print form: 2005

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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 is a part of this series. Computational Economics 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.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
IGP Forthcoming Titles in the Computational Intelligence and Its Applications Series.
Computational Economics: A Perspective from Computational Intelligence Table of Contents.
1: Financial Modeling of Investment and Forecasting.
2: Financial Modeling and Forecasting with an Evolutionary Artifical Neural Network.
3: Pricing Basket Options with Optimum Wavelet Correlation Measures.
4: Influence Diagram for Investment Portfolio Selection.
5: Market Making and Agent-Based Modeling of Markets.
6: Minimal Intelligence Agents in Double Auction Markets with Speculators.
7: Optimization of Individual and Regulatory Market Strategies with Genetic Algorithms.
8: Fundamental Issues in Automated Market Making.
9: Games.
10: Slow Learning in the Market for Lemons: A Note on Reinforcement Learning and the Winner's Circle.
11: Multi-Agent Evolutionary Game Dynamics and Reinforcement Learning Applied to Online Optimization for the Traffic Policy.
12: Cost Estimation and Decision-Support Systems.
13: Fuzzy-Neural Cost Estimation for Engine Tests.
14: Computer-Aided Management of Software Development in Small Companies.
15: Modern Organizations and Decision-Making Processes: A Heuristic Approach.
16: Policy Appraisal.
17: An Application of Multi-Agent Simulation to Policy Appraisal in the Criminal Justice System.
18: Capital Controls and Firm's Dynamics.
19: Organizational Theory and Inter-Organizational Alliances.
20: A Physics of Organizational Uncertainty: Perturbations, Measurement and Computational Agents.
21: Reducing Agency Problem and Improving Organizational Value-Based Decision-Making Model of Inter-Organizational Strategic Alliance.
About the Authors.