Abstract
The Era of Decentralization It seems fair to say that we live in an era of decentralization. Almost every time you pick up a newspaper, you can see evidence of the growing interest in decentralized systems. On the front page, you might read an article about the transition of the former Communist states from centrally planned economies to market-based economies. Turn to the business page, and you might find an article about the shift in corporate organizations away from top-down hierarchies toward decentralized management structures. The science section might carry an article about new distributed models of the mind, and it might include a technology column about the role of the Internet in promoting distributed approaches to computing. And in the book review, you might discover how the latest literary theories are based on the idea that literary meaning itself is decentralized—always constructed by individual readers, not imposed by a centralized author.
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References
Abelson, H., & diSessa, A. 1980. Turtle geometry: The computer as a medium for exploring mathematics. Cambridge, MA: M.I.T. Press.
Ackermann, E. 1996. Perspective-taking and object construction: Two keys to learning. In Kafai, Y. & Resnick, M. (eds.), Constructionism in practice. Mahwah, NJ: Lawrence Erlbaum, pp. 25–35.
Arthur, W.B. 1990. Positive feedbacks in the economy. Scientific American, 262(2), 92–99.
Dewdney, A.K. 1989. Simulated evolution: Wherein bugs learn to hunt bacteria. Scientific American, 260(5), 138–141.
Harvey, B 1985. Computer science Logo style Cambridge, MA: M.I.T. Press.
Heppner, F., and Grenander, U. 1990. A stochastic nonlinear model for coordinated bird flocks. In Krasner, S. (ed.), The ubiquity of chaos. Washington, DC: AAAS Publications.
Herman, R., & Gardels, K. 1963. Vehicular traffic flow. Scientific American, 209(6), 35–43.
Hut, P., and Sussman, G.J. 1987. Advanced computing for science.Scientific American 255(10).
Jackson, S., Stratford, S., Krajcik, J., & Soloway, E. 1996. A learner-centered tool for students building models. Communications of the ACM, 39(4), 48–49.
Keller, E.F. 1985. Reflections on gender and science. New Haven: Yale University Press.
Keller, E.F., and Segel, L. 1970. “Initiation of slime mold aggregation viewed as an instability” Journal of Theoretical Biology, 26, 399–415.
Leiser, D. 1983. Children’s conceptions of economics-The constitution of a cognitive domain. Journal of Economic Psychology, 4, 297–317.
Lotka, A J. 1925. Elements of physical biology. New York: Dover Publications (reprinted 1956 ).
Mayr, E. 1982. The growth of biological thought. Cambridge, MA: Harvard University Press.
Minsky, M. 1987. The society of mind. New York: Simon & Schuster.
Paley, W. 1802. Natural theology-or evidences of the existence and attributes of the deity collected from the appearances of nature. Oxford, England: J. Vincent.
Palmiter, M. 1989. Simulated evolution. Bayport, NY: Life Science Associates
Papert, S. 1980. Mindstorms: Children, computers, and powerful ideas. New York: Basic Books.
Papert, S. 1991. Situating constructionism. In Hard, I. & Papert, S. (eds.) Constructionism. Norwood, NJ: Ablex Publishing
Resnick, M. 1990. MultiLogo: A study of children and concurrent programming. Interactive Learning Environments, 1(3), 153–170.
Resnick, M. 1991 Animal simulations with StarLogo: Massive parallelism for the Masses. In Meyer, J.A. & Wilson, S. (eds.), From animals to animats. Cambridge, MA: M.I.T. Press.
Resnick, M. 1994.Turtles termites and traffic jams: Explorations in massively parallel microworlds Cambridge, MA: M.I.T. Press.
Resnick, M. 1996. Beyond the centralized mindset. Journal of the Learning Sciences 5(1) 1–22
Resnick, M. 1997. Learning through computational modeling. Computers in the Schools 14(1) 143-152
Resnick, M., Bruckman, A., & Martin, F. 1996. Pianos not stereos: Creating computational constructions kits. Interactions, 3(5), 41–50.
Reynolds, C. 1987. Flocks, herds, and schools: A distributed behavioral model. Computer Graphics 21(4) 25-36
Richmond, B., & Peterson, S. 1990. Stella II. Hanover, NH: High Performance Systems, Inc.
Roberts, N., Anderson, D., Deal, R., Garet, M., & Shaffer, W. 1983. Introduction to computer simulation: A system dynamics modeling approach. Reading, MA: Addison-Wesley.
Simon, H. 1969. The sciences of the artificialCambridge, MA: M.I.T. Press.
Volterra, V. 1926. Fluctuations in the abundance of a species considered mathematically. Nature, 188, 558–560.
Wilensky, U. 1993 Connected mathematics: Building concrete relationships with mathematical knowledge. PhD. dissertation, M.I.T
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Resnick, M. (1999). Decentralized Modeling and Decentralized Thinking. In: Feurzeig, W., Roberts, N. (eds) Modeling and Simulation in Science and Mathematics Education. Modeling Dynamic Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1414-4_5
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DOI: https://doi.org/10.1007/978-1-4612-1414-4_5
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