By Romulus-Catalin Damaceanu
"Agent-based Computational Economics utilizing NetLogo" explores how researchers can create, use and enforce multi-agent computational versions in Economics through the use of NetLogo software program platform. difficulties of monetary technology may be solved utilizing multi-agent modelling (MAM). this method makes use of a working laptop or computer version to simulate the activities and interactions of independent entities in a community, which will examine the consequences at the whole financial system. MAM combines components of online game concept, complicated structures, emergence and evolutionary programming. The Monte Carlo strategy is additionally utilized in this booklet to introduce random parts. The eleven types awarded during this textual content simulate the simultaneous operations of numerous brokers in an try and recreate and are expecting complicated fiscal phenomena.
This ebook explains the subject in a scientific demeanour, beginning with an advent for readers thus via method and implementation utilizing NetLogo. the amount ends with conclusions in keeping with the result of the experiments presented.
The ebook is meant as a concise and important source for economists, utilized mathematicians, social sciences scientists, platforms analysts, operations researchers and numerical analysts.
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Extra resources for Agent-based Computational Economics using NetLogo
The main construction blocks of any agent-based computational model are the following: the set of agents (A), the initializations (I) and the simulation specifications (R). In order to validate an agent-based model, we must follow the following steps: (1) The analysis of pure theories of Economics; (2) Defining the objectives of research and the precise tasks of the model; (3) Building the conceptual model; (4) Validation of conceptual model; (5) Transformation of conceptual model in a computerized model using a software platform; (6) The operational validation of computerized model; (7) The analysis of experiments results and interpretation from an economic point of view.
Turtles and patches have coordinates determined by the variables xcor and ycor for turtles and, respectively, pxcor and pycor for patches. The patch with the coordinate (0,0) is called origin. pxcor is growing (pxcor>0) if we are moving to the right and is dropping (pxcor<0) if we are moving to the left in comparison with the origin. In the same time, pycor is growing (pycor>0) if we are moving up and is dropping (pycor<0) if we are moving down in comparison with the origin. The total number of patches is determined by the parameters min-pxcor, max-pxcor, min-pycor, and max-pycor.
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