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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/36157

    Title: Agent-Based Modeling of Macroeconomics: Applications of Genetic Programming
    Authors: 葉佳炫
    Yeh, Chia-Hsuan
    Contributors: 陳樹衡
    Yeh, Chia-Hsuan
    Date: 1999
    Issue Date: 2009-09-18 17:20:51 (UTC+8)
    Abstract: 本論文是承續有限理性總體經濟學發展下的一支研究。在傳統經濟分析上,
    By means of the development of evolutionary computation, we have the chance to analyze economic system by relaxing the representative agent assumption. The important phenomena in economy, coordination and coevolution, can be observed and studied in the framework. However, this can't be done in traditional analytical methods.
    From the agent-based point of view, we can understand why and how the coordination succeeds (or fails), and how the environment factors influence the economic dynamic process. Furthermore, we can see that the representative agent could be evolved. That means the representative agent is a result of evolution rather than proper assumption. Also, it doesn't guarantee that the representative agent is a natural result.
    The technique used in this dissertation is genetic programming (GP). The introduction about genetic programming is given briefly. The economic interpretations of using genetic programming are also detailed.
    From the simulations results, we can observe that the issues unsolved in macroeconomics, convergence of equilibrium in a heterogeneous agents environment and the equilibrium selection, can be analyzed. Moreover, our GP-based learning agents can replicate the results obtained from laboratory experiments with human subjects. The rich dynamic phenomena are also observed in the simulations. Theses motivate us to rethink about the role of learning behavior in economic system and the concept of equilibrium.
    Reference: Adijali, I., M. Gell and T. Lunn (1994), "Fluctuations in a Decentralized
    Agent-Resource System," Physical Review E, Vol. 49, No. 5,
    pp. 3833-3842.
    Alchian, A. (1950), "Uncertainty, Evolution, and Economic Theory,"
    Journal of Political Economy, Vol. 58, No. 3, pp. 211-21.
    Allais, M. (1947), "Economie et Interet," Imprimerie Nationale, Paris.
    Andrews, M. and R. Prager (1994), "Genetic Programming for the Acquisition
    of Double Auction Market Strategies," in K. E. Kinnear (1994) (eds.),
    Advances in Genetic Programming, Vol. 1, MIT Press. pp. 355-368.
    Aoki, D. J., 1976, "On fluctuations in Microscopic States of a Large
    System," in S. Mitter and Y. C. Ho (eds.), Direction in Decentralized
    Generations Model: An Illustration with Dynamics of the Inflation Rate,"
    in V. W. Porto, N. Saravanan, D. Waagen and A. E. Eiben (eds.),
    Evolutionary Programming VII, Lecture Notes in Computer Science,
    Vol. 1447, Berlin: Springer-Verlag. 1998. pp. 829-838.
    Chen, S.-H., and C.-H. Yeh (1999), "Genetic Programming in Agent-Based
    Artificial Markets: Simulations and Analysis," paper presented at the
    Seventh Annual Symposium of the Society for Nonlinear Dynamics
    and Econometrics, New York, March 18-19.
    Chen, S.-H., T. Lux, and M. Marchesi (1998), "Testing for Non-Linear
    Structure in an Artificial Financial Market," mimeo, Department of
    Control, Many Person Optimization and Large Scale Systems, Plenum Press,
    Economics, University of Bonn.
    Cooper, R., De Jong, D. V., Forsythe, R., and Ross, T. W. (1992a),
    "Communication in Coordination Games," Quarterly Journal of Economics,
    Vol. 107, Issue 3, pp. 739-771.
    Cooper, R., De Jong, D. V., Forsythe, R., and Ross, T. W. (1992b),
    "Forward Induction in Coordination Games," Semiotics Letters,
    Vol. 40, pp. 167-172.
    Coveney, P and R. Highfield (1995), Frontiers of Complexity:
    The Search for Order in a Chaotic World, New York: Fawcett Columbine.
    Darwin, C. (1859), On the Origin of Species by Means of Natural
    New York, NY.
    Selection. John Murray.
    Darwin, C. (1904), The Descent of Man, 2nd edn, New York: Hill.
    Devaney, R.L. (1989), An Introduction to Chaotic Dynamical Systems,
    2nd Ed., (Reading, MA: Addison-Wesley).
    Epstein, J., and R. Axtell (1996), Growing Artificial Societies: Social
    Science from the Bottom Up, Cambridge, MA: The MIT Press.
    Even, R. and B. Mishra (1996), "CAFE: A Complex Adaptive Financial
    Environment," in Proceedings of the IEEE/IAFE 1996 Conference on
    Computational Intelligence for Financial Engineering, IEEE Press, pp.20-25.
    Ezekiel, M. (1938), "The Cobweb Theorem," Quarterly Journal of
    Aoki, D. J., 1979, "Interactions among Economic Agents under Imperfect
    Economics, Vol. 52, pp. 255-280.
    Ferguson, Donald, Yechiam Yemini, and Christos Nikolaou. (1988),
    "Microeconomic Algorithms for Load Balancing in Distributed Computer
    Systems," in International Conference in Distributed Computer
    Systems, IEEE, pp. 491-499.
    Fogel, D. B. (1995), Evolutionary Computation: Toward a New Philosophy
    of Machine Intelligence, The Institute of Electrical and Electronics
    Engineers, Inc., New York, IEEE Press.
    Fogel, L. J. (1962a), "Autonomous Automata," Industrial Research,
    Vol. 4, pp. 14-19.
    Information: An Example," in M. Aoki and A. Marzollo (eds.), New Trends
    Fogel, L. J. (1962b), "Toward Inductive Inference Automata,"
    in Proceedings of the International Federation for Information
    Processing Congress, Munich, pp. 395-400.
    Fogel, L. J. (1962c), "Decision-Making by Automata," Technical Report
    GDA-ERR-AN-222, General Dynamics, San Diego.
    Fogel, L. J. (1963), Biotechnology: Concepts and Applications,
    Englewood Cliffs, NJ: Prentice Hall.
    Fogel, L. J. (1964), "On the Organization of Intellect," Ph.D.
    dissertation, UCLA.
    Fogel, L. J., and M. J. Walsh (1964), "Research toward Automatic Pattern
    in Dynamic System Theory and Economics, Academic Press, New York, NY.
    Recognition and Artificial Intelligence," Technical Report GDR-ERR-AN-568,
    General Dynamics, San Diego.
    Fogel, L. J., A. J. Owens, and M. J. Walsh (1965a), "Artificial Intelligence
    through a Simulation of Evolution," A. Callahan, M. Maxfield,
    and L. J. Fogel (eds.), in Biophysics and Cybernetics Systems,
    Washington DC: Spartan Books, pp. 131-156.
    Fogel, L. J., A. J. Owens, and M. J. Walsh (1965b), "Intelligent
    Decision-Making through a Simulation of Evolution," IEEE Trans.
    of the Professional Technical Group on Human Factors in Electronics,
    Aoki, D. J., 1980, "Dynamics and Control of a System Composed of a Large
    Fogel, L. J., A. J. Owens, and M. J. Walsh (1966), Artificial
    Intelligence through Simulated Evolution, New York: John Wiley.
    Friedberg, R. M. (1958), "A Learning Machine: Part I," IBM Journal of
    Research and Development, Vol. 2, pp. 2-13.
    Friedberg, R. M., B. Dunham, and J. H. North (1959), "A Learning Machine:
    Part II," IBM Journal of Research and Development, Vol. 3, pp. 282-287.
    Gilbert, M (1989), "Rationality and Salience," Philosophical Studies,
    Vol. 57, pp. 61-77.
    Haag, G., Weidlich, W. and Mensch, G. 1987, "The Schumpeter Clock," in
    Economic Evolution and Structural Adjustment, D. Batten et al. (eds.),
    Number of Similar Subsystems," Chapter 11, in D. T. Lin (eds.),
    Berlin, Springer.
    Harrald, P. (1998), "Economics and Evolution," the panel paper given at
    the Seventh International Conference on Evolutionary Programming,
    March 25-27, San Diego, U.S.A.
    Heymann, D., R. P. J., Pearzzo and A. Schuschny (1998), "Learning and
    Contagion Effects in Transitions Between Regimes: Some Schematic Multi-Agents
    Models," Journal of Management and Economics, Vol. 2, No. 2.
    Holland, J. H. (1969), "Adaptive Plans Optimal for Payoff-Only
    Environments," in Proceedings of the Second Hawaii International
    Conference on System Sciences, pp. 917-920.
    Dynamic Optimization and Mathematical Economics, Plenum Press,
    Holland, J. H. (1975), Adaptation in Natural and Artificial Systems.
    University of Michigan Press.
    Holland, J. H., and J. H. Miller (1991), "Artificial Adaptive Agents in
    Economic Theory," American Economic Review, Vol. 81, No. 2,
    Papers and Proceedings, pp. 365-370.
    Huberman, Bernardo A., and Tad Hogg (1995), "Distributed Computation as
    an Economic System," Journal of Economic Perspective, Vol. 9, No. 1,
    pp. 141-152.
    Kaizoji, T. (1998), "Complex Dynamics of Speculative Price,"
    in R. Standish, B. Henry, S. Watt, R. Marks, R. Stocker, D. Green, S. Keen,
    New York, NY.
    and T. Bossomaier (eds.), in {Proceedings of Complex Systems 1998:
    Complexity Between the Ecos: From Ecology to Economics, pp. 291-304.
    Karp, R. M. (1987), "Combinatorics, Complexity, and Randomness,"
    ACM Turing Award Lectures, ACM Press, New York. pp. 433-453.
    Kirman, A. (1997), "The Economy as an Interactive System," in The
    Economy as an Evolving Complex System, Vol. II, W. B. Arthur, S. Durlauf,
    and D. Lane (eds.), Santa Fe Institute Studies in the Sciences of
    Complexity, Proceedings Volume XXVII, Reading, MA: Addison-Wesley.
    pp. 491-532.
    Kollman, K., J. H. Miller, and S. E. Page (1997), "Computational Political
    Aoki, D. J., 1994, "New Macroeconomic Modeling Approaches," Journal
    Economy," in The Economy as an Evolving Complex System, Vol. II,
    W. B. Arthur, S. Durlauf, and D. Lane (eds.), Santa Fe Institute Studies
    in the Sciences of Complexity, Proceedings Volume XXVII, Reading,
    MA: Addison-Wesley. pp. 461-490.
    Koza, J. R. (1989), "Hierarchical Genetic Algorithms Operating on
    Populations of Computer Program," in Proceedings of the 11th
    International Joint Conference on Artificial Intelligence, Morgan
    Koza, J. R. (1992), Genetic Programming: On the Programming of
    Computers by Means of Natural Selection, Cambridge: MIT Press.
    of Economic Dynamics and Control, Vol. 18, No. 3-4, pp. 865-877.
    Koza, J. R. (1994), Genetic Programming II: Automatic Discovery of
    Reusable Programs, Cambridge: MIT Press.
    Kuwabara, Kazuhiro, Toru Ishida and Yoshiyasu Nishibe (1993), "Market
    Based Distributed Resource Allocation: Equilibratory Approach," in Workshop
    on Artificial Economics, Eleventh International Joint Conference on
    Artificial Intelligence (IJCAI'93).
    Langton, C. G. (1992), Preface in Artificial Life II, Vol. X,
    in C. G. Langton, C. Taylar, J. D. Farmer, and S. Rasmussen (eds.),
    Santa Fe Institute Studies in the Sciences of Complexity,
    pp. xiii-xviii, Redwood City, CA, Addison-Wesley.
    Arifovic, J. (1994), "Genetic Algorithm Learning and the Cobweb Model,"
    LeBaron, B. (1998), "Agent-Based Computational Finance: Suggested Readings
    and Early Research," the paper presented at the First workshop on
    Agent-Based Modeling of Financial Markets, Nov.17, Washington D.C. Also,
    forthcoming in Journal of Economic Dynamics and Control.
    Leijonhufvud, A. (1993), "Towards a Not-Too-Rational Macroeconomics,"
    Southern Economic Journal, Vol. 60, No. 1, pp. 1-13.
    Lucas, R. E., Jr. (1986), "Adaptive Behavior and Economic Theory,"
    Journal of Business, Vol. 59, No. 4, Part 2, S401-426.
    Lux, T. (1995), "Herd Behavior, Bubbles and Crashes," Economic
    Journal, Vol. 105, No. 431, pp. 881-896.
    Journal of Economic Dynamics and Control, Vol. 18, No. 1, January,
    Lux, T. (1997), "Time Variation of Second Moments from a Noise
    Trader/Infection Model," Journal of Economic Dynamics and Control,
    Vol. 22, No. 1, pp. 1-38.
    Lux, T. (1998), "The Socio-Economic Dynamics of Speculative Markets:
    Interacting Agents, Chaos, and the Fat Tails of Return Distributions,"
    Journal of Economic Behavior and Organization, Vol. 33, No. 2,
    pp. 143-165.
    Lux, T. and M. Marchesi (1998), "Scaling and Criticality in a Stochastic
    Multi-Agent Model of a Financial Market," Nature. (in press)
    Malone T. W., R. E. Fikes, K. R. Grant, and M. T. Howard (1988), "A Market-Like
    pp. 3-28.
    Task Scheduler for Distributed Computing Environments," in B. A. Huberman
    (eds.), The Ecology of Computation, North-Holland, Amsterdam,
    pp. 177-205.
    Marcet, A. and T. Sargent (1989), "Convergence of Least Squares
    Learning Mechanisms in Self-Referential Linear Stochastic Models,"
    Journal of Economic Theory, Vol. 48, No. 2, pp.337-368.
    Marengo, L. and H. Tordjman (1996), "Speculation, Heterogeneity and
    Learning: A Simulation Model of Exchange Rate Dynamics," paper presented
    at the Second International Conference on Computing in Economics and
    Finance, Geneva, Switzerland, June 26-28, 1996.
    Arifovic, J. (1995a), "Genetic Algorithms and Inflationary Economies,"
    Marks, R. (1992), "Breeding Hybrid Strategies: Optimal Behavior for
    Oligopolists," Journal of Evolutionary Economics, Vol. 2, No. 1,
    pp. 17-38.
    McCall, John J. (1995), "Alchian Economics: The Evolutionary Foundations
    of Economic Organizations," Taiwan Journal of Political Economy,
    Vol. 1, No. 1, pp. 1-20.
    Miller, J (1996), "The Coevolution of Automata in the Repeated Prisoner's
    Dilemma," Journal of Economic Behavior and Organization, Vol. 29,
    No. 1, pp. 87-112.
    Miller, Mark S. and K. Eric Drexler (1988), "Markets and Computation:
    Journal of Monetary Economics, Vol. 36, No. 1, pp. 219-243.
    Agoric Open Systems," in B. A. Huberman (eds.), The Ecology of
    Computation, North-Holland, Amsterdam, pp. 177-205.
    Minsky, M. L. (1986), The Society of Mind, New York: Simon and Schuster
    Muth, J. F. (1961), "Rational Expectations and the Theory of Price
    Movements," Econometrica, Vol. 29, No. 3, pp. 315-335.
    Minar, N., R. Burkhart, C. Langton, and M. Askenazi (1996), "The SWARM
    Simulation System: A Toolkit for Building Multi-Agent Simulations,"
    Swarm Introductory Material, Santa Fe Institute.
    Palmer, R. G., W. B. Arthur, J. H. Holland, B. LeBaron, and P. Tayler (1994),
    "Artificial Economic Life: A Simple Model of a Stockmarket,"
    Arifovic (1995b), "Strategic Uncertainty and the Genetic Algorithm
    Physica D, 75, pp. 264-274.
    Pingle, M., and L. Tesfatsion (1998), "Active Intermediation in a Monetary
    Overlapping Generations Economy," Journal of Economic Dynamics and
    Control, Vol. 22, No. 10, pp. 1543-1574.
    Price, T. C. (1997), "Using Co-Evolutionary Programming to Simulate
    Strategic Behavior in Markets," Journal of Evolutionary Economics,
    Vol. 7, No. 3, pp. 219-254.
    Rechenberg, I. (1965), "Cybernetic Solution Path of an Experimental
    Problem," Royal Aircraft Establishment, Library Translation, No. 1122,
    Adaptation," working paper, Simon Fraser University.
    Rechenberg, I. (1973), Evolutionsstartegie: Optimierung Technisher
    Systeme nach Prinzipien der Biologischen Evolution, Stuttgart:
    Fromman-Holzboog Verlag.
    Robson, D. (1985), Smalltalk-80: The Language and Its Implementation.
    Samuelson, P. A. (1958), "An Exact Consumption-Loan Model of Interest with
    or without the Social Contrivance of Money," Journal of Political
    Economy, Vol. 66, No. 6, pp. 467-482.
    Sargent, T.J. (1993), Bounded Rationality in Macroeconomics,
    New York: Oxford University Press.
    Arifovic, J. (1996), "The Behavior of the Exchange Rate in the Genetic
    Schwefel,H.-P. (1965)"Kybernetische Evolution als Strategie der
    Experimentellen Forschung in der Str\"omungstechnik," Diploma Thesis,
    Technical University of Berlin.
    Smith, V. L., G. L. Suchanek, and A. W. Williams (1988), "Bubbles,
    Crashes, and Endogenous Expectations in Experimental Spot Asset Markets,"
    Econometrica, Vol. 56, No. 5. pp.1119-1151.
    Staudinger, S. (1998), "Money as Medium of Exchange: An Analysis with
    Genetic Algorithms," in Proceedings of Conference on Computation in
    Economics, Finance, and Engineering, June 29-July 1, University of Cambridge.
    Tayler, P. (1995), "Modeling Artificial Stocks Markets Using Genetic
    Algorithm and Experimental Economies," Journal of Political Economy,
    Algorithms," in S. Goonatilake and P. Treleaven (eds.), Intelligent
    Systems for Finance and Business, pp.271-288.
    Tesfatsion, L. (1996), "How Economists Can Get Alife," The Economy
    as an Evolving Complex Systems, Vol. II, W. B. Arthur, S. Durlauf,
    and D. Lane (eds.), Santa Fe Institute in the Science of Complexity,
    Vol. XXVII, Addison-Wesley, Reading, MA. pp. 533-564.
    Tesfatsion, L. (1998), "Agent-Based Computational Economics: A Brief Guide
    to the Literature," prepared for the Reader's Guide to the Social Sciences,
    Fitzroy-Dearborn, London, UK.
    Van Huyck, J., Battalio, R. C., and Beil, R. O. (1990), "Tacit Coordination
    Vol. 104, No. 3, pp. 510-541.
    Games, Strategic Uncertainty and Coordination Failure," American
    Economic Reviews, Vol. 80, No. 1, pp. 234-248.
    Veblen, T. (1898), "Why is Economics not an Evolutionary Science?,"
    Quarterly Journal of Economics, XII, July, pp. 373-397.
    Velupillai, K. (1995), "The Computable Approach to Economics,"
    Taiwan Journal of Political Economy, Vol. 1, No. 1, pp. 53-110.
    Vila, X. (1997), "Adaptive Artificial Agents Play a Finitely Repeated
    Discrete Principal-Agent Game," in R. Conte, R. Hegselmann, and
    P. Terna (eds.), Simulating Social Phenomena, Lecture Notes
    in Economics and Mathematical Systems, Springer. pp.437-456.
    Arifovic, J, and B. C. Eaton (1998), "The Evolution of Type Communication
    Vriend, N. (1998), "An Illustration of the Essential Difference between
    Individual and Social Learning, and Its Consequence for Computational
    Analysis," Technical Report, Queen Mary and Westfield College,
    University of London, UK.
    von Neumann, J (1966), The Theory of Self-Reproducing Automata.
    Edited and completed by A.W. Burks, University of Illinois Press.
    Vriend, N. (1995), "Self-Organization of Markets: An Example of a
    Computational Approach," Computational Economics, Vol. 8, No.3,
    pp. 205-231.
    Waldspurger, Carl A., Tad Hogg, Bernardo A. Huberman, Jeffery O. Kephart,
    in a Sender/Receiver Game of Common Interest with Cheap Talk," Journal
    and W. Scott Stornetta (1992), "Spawn: A Distributed Computational Economy,"
    IEEE Trans. on Software Engineering, Vol. 18, No. 2, pp. 103-117.
    Weidlich, W and Haag, G. (1983), Concepts and Models of Quantitative
    Sociology, Berlin, Springer.
    Weidlich, W (1991), "Physics and Social Sciences: The Approach of
    Synergetics," Physics Reports, Vol. 204, pp. 1-163.
    Wellford, C. P. (1989), "A laboratory analysis of price and dynamics and
    expectations in the cobweb model," Discussion paper 89-15 (University of
    Arizona, Tucson, AZ).
    Young, P. (1998), Individual and Social Structure: An Evolutionary
    of Economic Dynamics and Control, Vol. 22, No. 8-9, pp. 1187-1207.
    Theory of Institutions, Princeton: Princeton University Press, Princeton.
    Youssefmir, M. and B. Huberman (1996), "Clustered Volatility in Multiagent
    Dynamics," Journal of Economic Behavior and Organization, Vol. 32,
    No. 1, pp. 101-118.
    Arifovic, J., J. Bullard, and J. Duffy (1996), "Learning in a Model of
    Economic Growth and Development," Working Paper, Simon Fraster University.
    Arifovic, J., J. Bullard and J. Duffy (1997), "The Transition From
    Stagnation to Growth: An Adaptive Learning Approach," Journal
    of Economic Growth, Vol. 2, No. 2, pp. 185-209.
    Arifovic, J., and R. Gencay (1999), "Statistical Properties of Genetic
    Learning in a Model of Exchange Rate," Journal of Economic Dynamics
    and Control, forthcoming.
    Arthur, B. (1992), "On Learning and Adaptation in the Economy,"
    Working Paper 92-07-038, SFI Economics Research Program.
    Arthur, W. B., J. H. Holland, B. LeBaron, R. Palmer, and P. Taylor (1997),
    "Asset pricing Under Endogenous Expectations in an Artificial Stock Market,"
    in The Economy as an Evolving Complex System, Vol. II, W. B. Arthur,
    S. Durlauf, and D. Lane (eds.), Santa Fe Institute Studies in the Sciences
    of Complexity, Proceedings Volume XXVII, Reading, MA: Addison-Wesley.
    pp. 15-44.
    Axelrod, R. (1997), The Complexity of Cooperation: Agent-Based Models
    of Competition and Collaboration, Princeton: Princeton University Press.
    Box, G. E. P. (1957), "Evolutionary Operation: A Method for Increasing
    Industrial Productivity," Applied Statistics, Vol. 6, pp. 81-101.
    Box, G. E. P. (1960), "Some General Considerations in Process Optimization,"
    Journal of Basic Engineering, March, pp. 113-119.
    Box, G. E. P. (1966), "A Simple System of Evolutionary Operation Subject to
    Empirical Feedback," Technometrics, Vol. 8, pp. 19-26.
    Box, G. E. P., and J. S. Hunter (1959), "Condensed Calculations for
    Evolutionary Operation Programs," Technometrics, Vol. 1, pp. 77-95.
    Box, G. E. P., and J. Chanmugam (1962), "Adaptive Optimization of
    Continuous Processes," Industrial and Engineering Chemistry
    Fundamentals, Vol. 1, pp. 2-16.
    Box, G. E. P., and N. R. Draper (1969), Evolutionary Operation:
    A Statistical Method for Process Control, New York: John Wiley.
    Bray, M. M. (1982), "Learning, Estimation and the Stability of Rational
    Expectations," Journal of Economic Theory, Vol. 26, No. 2, pp. 318-339.
    Brenner, T. (1998), "Can Evolutionary Algorithms Describe Learning
    Processes?," Journal of Evolutionary Economics, Vol.8, No. 3,
    pp. 271-283.
    Bryant, J. and N. Wallace (1984), "A Price Discrimination Analysis of
    Monetary Policy," Review of Economic Studies, Vol. 51, No. 2,
    pp. 279-288.
    Bullard, J. and J. Duffy (1998a), "A Model of Learning and Emulation with
    Artificial Adaptive Agents," Journal of Economic Dynamics and Control,
    Vol. 22, No. 2, pp. 179-207.
    Bullard, J. and J. Duffy (1998b), "Learning and the Stability of Cycles,"
    Macroeconomic Dynamics, Vol. 2, pp. 22-48.
    Bullard, J. and J. Duffy (1999), "Using Genetic Algorithms to Model the
    Evolution of Heterogeneous Beliefs," Computational Economics, forthcoming.
    Chen, S.-H., and C.-H. Yeh (1996), "Genetic Programming Learning and the
    Cobweb Model," in P. Angeline (ed.) Advances in Genetic Programming,
    Vol.2, Chap.22, MIT Press, Cambridge, MA. 1996. pp. 443-466.
    Chen, S.-H., J. Duffy, and C.-H. Yeh (1996), "Genetic Programming in the
    Coordination Game with a Chaotic Best-Response Function," in P. Angeline,
    T. Back, and D. Fogel (eds.) Evolutionary Programming V: Proceedings
    of the Fifth Annual Conference on Evolutionary Programming, MIT Press,
    Cambridge, MA, 1996. pp. 277-286.
    Chen, S.-H., and C.-H. Yeh (1997a), "Modeling Speculators with Genetic
    Programming," in P. Angeline, R. G. Reynolds, J. R. McDonnell,
    and R. Eberhart (eds.), Evolutionary Programming VI, Lecture
    Notes in Computer Science, Vol. 1213, Berlin: Springer-Verlag. 1997.
    pp. 137-147.
    Chen, S.-H., and C.-H. Yeh (1997b), "Speculative Trades and Financial
    Regulations: Simulations Based on Genetic Programming," Proceedings
    of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering
    (CIFEr'97), New York City, U.S.A., March 24-25, 1997. IEEE Press,
    pp. 123-129.
    Chen, S.-H., and C.-H. Yeh (1998), "Genetic Programming in the Overlapping
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