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Alternative modelling formalisations, such as differential equations and statistical analysis, imposes many restrictions, such as homogeneity, anonymity and perfectly rational. Agent-based modelling and simulations provide a new modelling formalisation approach that relaxes some or all those restrictions. Two agent-based systems are developed to study theories of decentralised, individualistic, boundedly rational, complex behaviour and nonlinear stochastic systems. The first ACE model presents an ACE to study demand- pull and cost-push inflation. Moreover, it studies the effect of different…mehr

Produktbeschreibung
Alternative modelling formalisations, such as differential equations and statistical analysis, imposes many restrictions, such as homogeneity, anonymity and perfectly rational. Agent-based modelling and simulations provide a new modelling formalisation approach that relaxes some or all those restrictions. Two agent-based systems are developed to study theories of decentralised, individualistic, boundedly rational, complex behaviour and nonlinear stochastic systems. The first ACE model presents an ACE to study demand- pull and cost-push inflation. Moreover, it studies the effect of different levels of rationality on Macro-Activities for Economic Systems. The second ACE model studies the Lucas-Island model. Specifically, it studies the behaviour of the central bank to stabilise inflation and output. Three different economic models are studied. Simulations show that there is a positive relationship between the equilibrium price and level of rationality while there is a negative relationship with the unemployment rate.
Autorenporträt
I have a PhD in computer Science, University of Kent, UK. I am working a lecturer, Faculty of Economics and Political Science, Cairo University, Egypt