Download Agent-Based Methods in Economics and Finance: Simulations in by Charlotte Bruun (auth.), Francesco Luna, Alessandro Perrone PDF

By Charlotte Bruun (auth.), Francesco Luna, Alessandro Perrone (eds.)

This moment publication on monetary and financial simulations in Swarm marks the ongoing growth via a gaggle of researchers to include agent-based desktop versions as a major device inside of their disci­ pline. it truly is encouraging to determine the sort of transparent instance of Swarm aiding to foster a neighborhood of clients who depend on the Swarm framework for his or her personal analyses. Swarm goals at legitimizing agent-based machine versions as a device for the learn of complicated structures. an extra aim is universal base framework will result in the expansion of consumer groups in particular components of software. by way of offering an organizing framework to lead the improvement of extra problem-specific buildings, and through facing an entire variety of concerns that have an effect on their basic correctness and their skill to be built and reused, Swarm has sought to make using agent-based types a sound software of medical research that still meets the sensible wishes of investigators inside a community.

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Additional info for Agent-Based Methods in Economics and Finance: Simulations in Swarm

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In this way the Swarm community may develop frameworks for different types of simulations. The lack of multiple inheritance, however, makes the combination of different frameworks rather cumbersome. There are ways of overcoming the problem, but the different frameworks must be adopted for it. Once a solution to this problem is found, one could picture a situation, where economic models using neural nets or genetic algorithms would combine two frameworksj one for economics and one for neural nets or genetic algorithms.

Besides these two layers of classes; Agent and Market, an economics framework should embrace a number of classes of a more auxiliary nature. e. classes for neural networks, genetic algorithms, etc. Here a 26 ECONOMIC AND FINANCIAL SIMULATIONS IN SWARM structure similar to Terna's ERA scheme could be useful. One could also have a set of classes holding different formalizations of agent preferences. Another set of classes could hold the characteristics of different financial assets or the characteristics of different consumer goods.

Krumpus is a framework developed in order to ease implementation of decentralized evolutionary computation (Krumpus(2000)). Since the framework has no economics content, it is the implementation of a framework that may help us design an economics framework for Swarm. The primary method for reusing code implemented in the Evo framework is inheritance. The framework defines a number of superclasses; Agent, Population, Environment, and the user of the framework lets his own classes inherit from these super-classes.

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