By Romulus-Catalin Damaceanu

"Agent-based Computational Economics utilizing NetLogo" explores how researchers can create, use and enforce multi-agent computational types in Economics by utilizing NetLogo software program platform. difficulties of financial technology could 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 self reliant entities in a community, as a way to study the consequences at the whole financial system. MAM combines components of online game idea, advanced platforms, emergence and evolutionary programming. The Monte Carlo technique can also be utilized in this book to introduce random parts. The eleven types offered during this textual content simulate the simultaneous operations of numerous brokers in an try to recreate and are expecting complicated fiscal phenomena.
This publication explains the subject in a scientific demeanour, beginning with an creation for readers in this case through method and implementation utilizing NetLogo. the quantity ends with conclusions in accordance with the result of the experiments presented.
The book is meant as a concise and very important source for economists, utilized mathematicians, social sciences scientists, structures analysts, operations researchers and numerical analysts.

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1997). On Incentives and Updating in Agent Based Models. Computational Economics, 10, 67-87 Pareto, V. (1935). The Mind and Society [Trattato Di Sociologia Generale]. Harcourt: Brace Prigogine, I. (1980). From being into Becoming: Time and Complexity in Physical Sciences. San Francisco: Freeman Reynolds, C. (1987). Flocks, herds and schools: A distributed behaviour al model. Proceedings of the 14th annual conference on Computer graphics and interactive techniques, 25-34 Ricardo, D. (1817). Principles of Political Economy and Taxation.

Thus, if the objective is to accurately represent social reality, then validation is about assessing how well the model is capturing the essence of its empirical referent. , 1997). , 2005; Stanislaw, 1986; Richiardi et al. 2006) is the process of ensuring that the model performs in the manner intended by its designers and implementers. Thus, verification is the process of looking for errors. An example of an implementation error would be the situation where the programmer intends to loop through the whole list of agents in the program, but he mistakenly writes the code so it only runs through a subset of them.

For example, the theoretical errors are very difficult to discover and correct. These are code lines that are correctly executed by computer but do not express the theoretical concepts of the researcher. To identify these errors, it is necessary not only to study in detail the code lines but also to analyze the entire set of obtained data produced by ACM implementation from the perspective of abstract theoretical concepts implemented by ACM. Conflict of Interest The author(s) confirm that this article content has no conflict of interest.

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Agent-based Computational Economics using NetLogo by Romulus-Catalin Damaceanu


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