English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113478/144464 (79%)
Visitors : 51488540      Online Users : 724
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/35795


    Title: 經濟學中的創新: 代理人基計算建模
    Innovation in Economics: Agent-Based Computational Modelling
    Authors: 池秉聰
    Ping Tsung,Chih
    Contributors: 陳樹衡
    Shu Heng,Chen
    池秉聰
    Ping Tsung,Chih
    Keywords: 創新
    軟體代理人
    學習機制
    品質導向生產
    數量導向生產
    innovation
    software agent
    learning
    quality-oriented
    quantity-oriented
    Date: 2006
    Issue Date: 2009-09-18 16:03:50 (UTC+8)
    Abstract: 創新一直是經濟學長久想要補捉的現象之一, 能夠成功地描述人類的創新, 就能解釋微觀的個體興衰以及巨觀的經濟成長。本研究嘗試建立一個以商品內涵為中心的經濟體系, 包裝在生產者和消費者所組成的商品市場。個體是以軟體代理人 (software agent) 來建模, 其被賦予獨立的學習機制。藉由個體的市場互動模擬, 我們可以更進一步的瞭解創新所帶來經濟成長背後的底層結構。有別於過去的研究對商品的描述。我們使用的方法可以同時兼具商品的質與量, 換言之, 商品的異質與同質大量生產目的是為了滿足各式各樣不同的消費族群。透過消費者對商品的篩選機制, 生產者的優勝劣敗於是產生。什麼樣的特徵具有較佳的存活機率, 什麼樣的組合結構會帶來較高的經濟成長 (即創新所帶來的福利效果), 便成為我們積極想要探索的問題。
    Innovation has always been viewed as one of the phenomena economists ardently attempt to explain. Once the process of innovation is successfully identified, it can be applied to describe not only individual progress but also the economic development as a whole. In this study, a commodity market
    with producers and consumers is conducted. Each producer has been modeled as a software agent who can independently perform learning functions. The simulation of the market activities may foster our understanding of the base structure of economic development brought by innovation. Unlike past research, our approach takes into account both the quality and quantity of a manufactured good. In
    other words, in respond to the need of diverse consumers, a producer may choose to adopt quantity-oriented or quality-oriented strategy. Success is defined in terms of the popularity of goods. This paper aims to discuss the characteristics and commodity combinations of successful producers. By doing this, the benefit of innovation can therefore be unveiled.
    Reference: Aghion, P. and P. Howitt (1992). “A Model of Growth through Creative Destruction,” Econometrica, 60, 2, 323–351.
    Allen, F. and R. Karjalainen (1999). “Using Genetic Algorithms to Find Technical Trading Rules,” Journal of Financial Economics, 51, 2, 245–271.
    Altenberg, L. (1994). “Evolving Better Representations Through Selective Genome Growth,” Proceedings of The IEEE World Congress on Computational Intelligence, 182–187.
    Angeline, P.J. and Pollack, J. (1993). “Evolutionary Module Acquisition,”Proceedings of the Second Annual Conference on Evolutionary Programming, MIT Press, 154–163.
    Aoki, M. (2002a). “Open Models of Share Markets with Two Dominant Types of Participants,” Journal of Economic Behavior and Organization, 49, 199–216.
    Aoki, M. (2002b). “Applications of Ewens–Pitman–Zabell Inductive Methods in New Economic Dynamics,” Proceeding of Sixth International Conference on Complex Systems, 29–35.
    Arrow, K. J. (1962). “The Economic Implications of Learning by Doing,”Review of Economic Studies, 29, 155–173.
    Arrow, K. J. (2000). “Knowledge as a Factor of Production,” Annual World Bank Conference on Development Economics 1999, 15–20.
    Baldwin, C. Y. and K. B. Clark (2000). Design Rules, Vol. 1: The Power of Modularity, MIT Press, Cambridge, MA.
    Barro, R. J. and X. Sala-i-Martin (1995). Economic Growth, McGraw-Hill. Basalla, G. (1988). The Evolution of Technology, Cambridge University Press.
    Baye, M., J. Morgan and P. Scholten (2007). “Information, Search, and Price Dispersion,” in T. Hendershott, (ed.), Handbook on Economics and Information Systems, Elsevier, forthcoming.
    Bell, D. R., T.-H. Ho, and C. S. Tang (1998). “Determining Where to Shop: Fixed and Variable Costs of Shopping,” Journal of Marketing Research, 35, 352–369.
    Caldwell, C. and V.S. Johnston (1991). “Tracking a Criminal Suspect Through ‘Face-Space’ with a Genetic Algorithm,” Proceedings of Fourth International Conference on Genetic Algorithms, Morgan Kauffman, 416–421.
    Calvin, W. H. (2005). A Brief History of the Mind From Apes to Intellect and Beyond. Oxford University Press, Oxford. Campbell, D. T. (1960). “Blind Variation and Selective Retention in Creative Thought as in Other Knowledge Processes,” Psychological Review, 67, 380–400.
    Campbell, D. T. (1965). “Variation and Selective Retention in Socio- Cultural Evolution,” in H. R. Barringer, G. I. Blanksten, and R. W. Mack (eds.), Social Change in Developing Areas: A Reinterpretation of Evolutionary Theory, Schenkman, Cambridge, MA.
    Chen, S.-H. and B.-T. Chie (2004). “Functional Modularity in the Fundamentals of Economic Theory: Toward an Agent-Based Economic Modeling of the Evolution of Technology,” International Journal of Modern Physics B, 18, 2376–2386.
    Chen, S.-H. and B.-T. Chie (2006). “A Functional Modularity Approach to Agent-Based Modeling of the Evolution of Technology,” in A. Namatame, T. Kaizouji, and Y.Aruka. (eds.), Lecture Notes in Economics and Mathematical Systems, The Complex Networks of Economic Interactions, 567, Springer, 165–178.
    Chen, S.-H. and C.-H. Yeh (2001). “Evolving Traders and the Business School with Genetic Programming: A New Architecture of the Agent- Based Artificial Stock Market,” Journal of Economic Dynamics and Control, 25, 363–393.
    Chen, S.-H. and T.-W. Kuo (2002). “Overfitting or Poor Learning: A Critique of Current Financial Applications of GP,” Genetic Programming, Lecture Notes in Computer Science 2610, Springer.
    Cheng, C. D. and A. Kosorukoff (2004). “Interactive One-Max Problem Allows to Compare the Performance of Interactive and Human-Based Genetic Algorithms,” Proceedings of Genetic and Evolutionary Computational Conference, Seattle, Washington, USA, CD-ROM.
    Christensen, C. M. (1992). “Explorin the Limits of the Technology SCurve,”Production and Operations Management, 1, 334–466.
    Darwin, C. (1887). The Life and Letters of Charles Darwin, Including and Autobiographical Chapter, in Francis Darwin, (ed.), 2nd ed., vol. 1, John Murray, London.
    Diamond, J. (1997). Guns, Germs, and Steel: The Fates of Human Societies. W.W. Norton & Company.
    De Jong, E. D. and J. B. Pollack (2003). “Multi-Objective Methods for Tree Size Control,” Genetic Programming and Evolvable Machines, Kluwer Academic Publishers, 4, 3, 211–233.
    Edelman, G. (1987). Neural Darwinism: The Theory of Neuronal Group Selection. Basic Books, New York, NY.
    Epanechnikov, V. A. (1969). “Non-Parametric Estimation of a Multivariate Probability Density,” Theory of Probability and its Applications, 14, 1, 153–158.
    Ferreira, C. (2001). “Gene Expression Programming: A New Adaptive Algorithm for Solving Problems,” Complex Systems, 13, 2, 87–129.
    Fine, C. H. (1986). “Quality Improvement and Learning in Production
    Systems,” Management Science, 10, 1301–1315.
    Fisher, I. (1911). Purchasing Power of Money. Macmillan, New York, NY.
    Fixson, S. K. (2003). “The Multiple Faces of Modularity - A Literature Analysis of a Product Concept for Assembled Hardware Products,” Technical Report 03-05., Industrial & Operations Engineering, University of Michigan, Ann Arbor, MI.
    Foster, R. N. (1986). Innovation: The Attacker’s Advantage, Summit Books, New York, NY.
    Frenken, K., L. Marengo, and M. Valente (1999). “Interdependencies, Near-Decomposability and Adaptation,” in T. Brenner, (ed.), Computational Techniques for Modeling Learning in Economics, 146–165. Kluwer.
    Garvin, D. A. (1988). Managing Quality, Free Press, New York, NY.
    Goldberg, D. E. (2002). The Design of Innovation: Lessons from and for Competent Genetic Algorithms. Kluwer Academic Publishers, Boston, MA.
    Grossman, G. M. and E. Helpman (1991). Innovation and Growth in the Global Economy, MIT Press, Cambridge, MA.
    Harrald, P. (2000). “Phenotype and Genotype Analogies in Evolutionary Economic Models,” in S.-H. Chen (ed.), Evolutionary Computation in Economics and Finance, Physica Verlag.
    Harrod, R. F. (1942). Toward a Dynamic Economics: Some Recent Developments of Economic Theory and their Application to Policy, London, Macmillan.
    Hicks, J. (1932). The Theory of Wages, London, Macmillan.
    Holland, J. H. (1975). Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor.
    Judd, K. L. (2006). “Computationally Intensive Analyses in Economics,”in Leigh Tesfatsion and Kenneth L. Judd (eds.), Handbook of Computational Economics, Handbook of Computational Economics, edition 1, volume 2, chapter 17, 881–893, Elsevier.
    Jung-Beeman, M., E.M. Bowden, J. Haberman, J.L. Frymiare, S. Arambel-Liu, R. Greenblatt, P.J. Reber, and J. Kounios (2004). “Neural Activity Observed in People Solving Verbal Problems with Insight,”Public Library of Science - Biology, 2, 4, e97.
    Kahneman, D., and A. Tversky (1979). “Prospect Theory: An Analysis of Decisions Under Risk”. Econometrica, 47, 313–327.
    Kauffman, Stuart A. (1993). The Origins of Order: Self-Organization and Selection in Evolution, Oxford University Press, New York, NY.
    Keber W. and N. J. Saam (2001). “Competition as a Test of Hypotheses: Simulation of Knowledge-generating Market Processes,” Journal of Artificial Societies and Social Simulation, 4, 3,
    http://www.soc.surrey.ac.uk/JASSS/4/3/2.html
    Koza, John R. (1992). Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press.
    Koza, John R. (1994). Genetic Programming II: Automatic Discovery of Reusable Programs, MIT Press.
    Law, A. M. and W. D. Kelton (1991). Simulation Modeling and Analysis, 2nd edition, McGraw-Hill, New York, NY.
    Leibenstein, H. (1966). “Allocative Efficiency vs. ’X-Efficiency’,” American Economic Review, 56, 3, 392–415.
    Lenski, G. E. (1966). Power and Privilege: A Theory of Social Stratification, McGraw-Hill, New York, NY.
    Levinthal, D. (1997). “Adaptation on Rugged Landscapes,” Management Science, 43, 934–950.
    Levy, S. (1992). Artificial Life: A Report from the Frontier Where Computers Meet Biology, Vintage, New York.
    Lucas, R. E., Jr. (1988). “On the Mechanics of Development Planning,” Journal of Monetary Economics, 22, 1, 3–42.
    Ma, T. and Y. Nakamori (2002). “An Agent-Based Simulation on Dynamics of Design Spaces,” Proceeding of The Second International Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS’02), 135–142.
    Marengo, L., G. Dosi, P. Legrenzi, and C. Pasquali (2000). “The Structure
    of Problem-Solving Knowledge and the Structure of Organizations,”Industrial and Corporate Change, 9, 757–788.
    McKay, R. I., T.H. Hoang, D. Essam, and N. X. Hoai (2006). “Developmental Evaluation in Genetic Programming: The Preliminary Results,” EuroGP 2006, Lecture Notes in Computer Science, 3905, 280–289, Springer-Verlag.
    Messinger, R. P. and C. Narasimhan (1997). “A Model of Retail Formats Based on Consumers’ Economizing on Shopping Time,” Marketing Science, 16, 1, 1–23.
    Naur, P. (1960). “Revised Report on the Algorithmic Language ALGOL 60,” Communications of the ACM, 3, 5, 299–314.
    Neely, C. and P. Weller (1999). “Technical Trading Rules in the European Monetary System,” Journal of International Money and Finance, 18, 429–458.
    Neely, C., P. Weller, and R. Dittmar (1997). “Is Technical Analysis in the Foreign Exchange Market Profitable? a Genetic Programming Approach,” Journal of Financial and Quantitative Analysis, 32, 4, 405–
    426.
    Nelson, P. (1974). “Advertising as Information,” Journal of Political Economy, 82, 729–754.
    Nelson, R. R. and S. G. Winter (1982). “An Evolutionary Theory of Economic Change,” Belknap, Cambridge, MA.
    Norman, D. (1998). The Invisible Computer, MIT Press, Cambridge, MA. Piana, V. (2002). “You Are a Monopolist,”
    http://www.economicswebinstitute.org/essays/monopolist.htm,
    Economics Web Institute. (last visited on March 24, 2007).
    Polanyi, M. (1966). The Tacit Dimension, Anchor Books, New York, NY.
    Popper, K. (1963). Conjectures and Refutations. Routledge, New York, NY.
    Romer, P. M. (1986). “Increasing Returns and Long-Run Growth,” Journal of Political Economy, 94, 5, 1002–1037.
    Romer, P. M. (1987). “Growth Based on Increasing Returns Due to Specialization,”
    American Economic Review, 77, 2, 56–62.
    Romer, P. M. (1990). “Endogenous Technological Change,” Journal of Political Economy, 98, 5, part II, S71–S102.
    Romer, P. M. (1997). “In the Beginning Was the Transistor,” Hoover Digest, 2.
    Rosca, J. P. and D. H. Ballard (1994). “Hierarchical Self-Organization in Genetic Programming,” Proceedings of the Eleventh International Conference on Machine Learning, Morgan Kaufmann.
    Samuelson, P. (1938). “A Note on the Pure Theory of Consumers’ Behaviour,”Economica, 5, 61–71.
    Satikarn, M. (1981). Technology Transfer: A Case Study, Singapore University Press, Singapore.
    Schelling, T. (1971). “Dynamic Models of Segregation,” Journal of Mathematical Sociology, 1, 143–186.
    Schumpeter, J. A. (1934). The Theory of Economic Development. Harvard University Press, Cambridge, MA.
    Schumpeter, J. A. (1939). Business Cycles: A Theoretical, Historical, and Statistical Analysis of the Capitalist Process, McGraw-Hill, New York, NY.
    Seybold, P. B. (2006). Outside Innovation: How Your Customers Will Co-Design Your Company’s Future, Harper Collins, New York, NY.
    Shafir, E. and R. A. LeBoeuf. (2002). “Rationality,” Annual Review of Psychology, 53, 491–517.
    Sheshinski, E. (1967). “Optimal Accumulation with Learning by Doing,” in Karl Shell, (ed.), Essays on the Theory of Optimal Economic Growth, MIT Press, Cambridge, MA, 31–52.
    Silverberg, G. and B. Verspagen (1994). “Collective Learning, Innovation and Growth in a Boundedly Rational, Evolutionary World,” Journal of Evolutionary Economics, 4, 207–226.
    Silverberg, G. and B. Verspagen (1995). “An Evolutionary Model of Long Term Cyclical Variations of Catching up and Falling Behind,” Journal of Evolutionary Economics, 5, 209–227.
    Simon, H. A. (1955). “A Behavior Model of Rational Choice,” Quarterly Journal of Economics, 69, 99–108.
    Simon, H. A. (1962). “The Architecture of Complexity,” Proceedings of the American Philosophical Society, 106, 467–82.
    Simon, H. A. (1973) “The Organization of Complex Systems,” in G. Braziller Howard H. Pattee, (ed.), Hierarchy Theory: The Challenge of Complex Systems, 3–27. New York, NY.
    Simon, H. A. (1982). The Sciences of the Artificial, 2nd ed. Cambridge, The MIT Press, MA.
    Solow, R. M. (1969). “Investment and Technical Change,” in Kenneth J. Arrow, et al., (eds)., Mathematical Methods in the Social Sciences, Stanford University Press, Palo Alto, CA.
    Teece, J. D. (1981). “The Market for Know-How and the Efficient Transfer of Technology,” Annuals of the American Academy of Political and Social Science, 4, 81–96.
    Tversky, A. (1972). “Elimination by Aspects: A Theory of Choice,” Psychological Review, 79, 281–299.
    Tversky, A. and D. Kahneman (1979). “Prospect Theory: An Analysis of Decision Under Risk,” Econometrica, 47, 263–291.
    Uzawa, H. (1965). “Optimal Technical Change in an Aggregative Model of Economic Growth,” International Economic Review, 6, 18–31.
    Varian, H. R. (1980). “A Model of Sales,” American Economic Review, 70, 4, 651–659.
    Veblen, T. (1899). The Theory of the Leisure Class, Allen & Unwin, London. Williamson, O. E. (1975). Market and Hierarchies: Analysis and Antitrust Implications, Free Press, New York, NY.
    Willihnganz, A. (1999). “Software thatWrites Software,” salon.com,WWW Article. http://www.salon.com/tech/feature/1999/08/10/genetic programming/, (last visited on March 24, 2007).
    Yao, X. (1999a). “Review of Evolutionary Artificial Neural Networks,”International Journal of Intelligent Systems, 8, 4, 539–567.
    Yao, X. (1999b). “Evolving Artificial Neural Networks,” Proceedings of the IEEE, 87, 9, 1423–1447.
    Zabell, S. (1992). “Predicting the Unpredictable,” Synthese, 90, 205–232.
    Description: 博士
    國立政治大學
    經濟研究所
    90258501
    95
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0902585011
    Data Type: thesis
    Appears in Collections:[經濟學系] 學位論文

    Files in This Item:

    File Description SizeFormat
    58501101.pdf45KbAdobe PDF2881View/Open
    58501102.pdf162KbAdobe PDF21324View/Open
    58501103.pdf116KbAdobe PDF2882View/Open
    58501104.pdf123KbAdobe PDF2698View/Open
    58501105.pdf444KbAdobe PDF2895View/Open
    58501106.pdf714KbAdobe PDF21344View/Open
    58501107.pdf512KbAdobe PDF21176View/Open
    58501108.pdf677KbAdobe PDF22085View/Open
    58501109.pdf458KbAdobe PDF2943View/Open
    58501110.pdf620KbAdobe PDF21283View/Open
    58501111.pdf955KbAdobe PDF21556View/Open
    58501112.pdf1141KbAdobe PDF21023View/Open
    58501113.pdf598KbAdobe PDF2917View/Open
    58501114.pdf468KbAdobe PDF21060View/Open
    58501115.pdf71KbAdobe PDF21001View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback