Abstract
The search for analogy in a micro-world, in order to have a better insight in the real world, is essential to simulation. Gordon, Enzer and Rochberg gave in our view the most complete description of simulation1.
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Notes Part 2 Chapter 2
T.J. Gordon, S. Enzer and R. Rochberg, An Experiment in Simulation Gaming for Social Policy Studies, Technological Forecasting 1, 1970, 241–261.
M. Shubik, On the Scope of Gaming, The Rand Corporation p-4608, Santa Monica 1971,6–8.
Game theory is distinct from gaming. “It is a branch of mathematics which can be studied as such with no need to relate it to behavioral problems, to applications, or to games. In general game theoretic reasoning and analysis are of considerable use in constructing and analyzing games and gaming exercises constructed for any purpose. The solution concepts or theories offered in the theory of games may be regarded as normative or descriptive views of multiperson decision making ”. M. Shubik, On Gaming and Game Theory, The Rand Corporation, P-4609, Santa Monica 1971, 3.
M. Shubik, On the Scope of Gaming, op. cit. 3.
Quade is very optimistic about the use of game theory for defense: “game theory is now not only being successfully applied to tactical military problems — such as radar search and prediction, and the scheduling of missile launching under enemy pindown— but also to problems of budget allocation and force structure”, E.S. Quade, Cost-Effectiveness: Some Trends in Analysis, The Rand Corporation, P-3529-1, March 1970, 5.
The question is even posed whether on line or off line. See H. Sackman, Advanced Research in Online Planning: Critique and Recommendations, System Development Corporation, Santa Monica, 1970.
G.H. Fisher, Cost Considerations in Systems Analysis, Elsevier, New York, 1971, 286–287.
The Project XRAY is described by G. H. Fisher, op. cit. 286–301.
See as an example the economic integration of several national economies: W.K. Brauers, Input-Output analyse en Internationale economische integratie, Standaard Antwerpen — Utrecht 1968, 201–229.
T.J. Gordon, S. Enzer and R. Rochberg, op. cit. p. 241.
G.H. Fischer, Cost Considerations in Systems Analysis, 12.
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Brauers, W.K. (2004). Simulation and Sensitivity Analysis. In: Optimization Methods for a Stakeholder Society. Nonconvex Optimization and Its Applications, vol 73. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-9178-2_5
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