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1972). Stabilite structurelle et Morphogenese. New York: Benjamin Vega-Redondo, F. (1996). Evolution, Games, and Economic Behaviour . Oxford: Oxford University Press Walras, L. (1954). Elements of Pure Economics. J. (1985). An Essay on the Importance of Being Nonlinear. P. (1998). Individual Strategy and Social Structure. C. (1977). Catastrophe Theory: Selected Papers (1972-1977). : Addison-Wesley Reading CHAPTER 2 The Multi Agent-Based Computational Model of an Artificial Economy Abstract: In this chapter, we describe the multi agent-based computational model of an artificial economy and proceed to the conceptual validation process by describing the observer O with its parameters, variables, procedures and sub-agents Ti and Pxy.

999} prit: = a random value from the set {1,23} rsit: = 1 seit: = a random value from the set {1,23} msit: = 0 Step 2. ,999} hait = 0 mpit = Ф (iv) Sub-agents PRi, COi: First type of sub-agents, PRi are the producers that buy resources from consumers COi and try to sell the products obtained after processing these resources. ,n}. 1,1]; rmit - the amount of raw materials pdit - the amount of production prit - the price of product rsit - the price of resources (raw materials) seit - the amount of production sold tsit - the total amount of products sold msit - the value of market share (iii) Procedures: ProcessResources, ComputeProfit.

Fig. ), raw materials, products, and workers to output raw materials and products that are re-entered as inputs in the next economic cycle of reproduction. In comparison with (Fig. 1) we simply substitute equation-based models with agent-based models of economic systems, defined as follows: let P be some set of properties, R - a set of relationships, M - a set of objects. If on M there is a set of relations R, M is not necessarily a system. Objects M form a system only if the objects M carry out a set of relationships that we are interested for our scientific research.

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CMOS digital data book by Harris Corporation


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