Collective Intelligence of Genetic Programming for Macroeconomic Forecasting

A collective approach to the problem of developing forecasts for macroeconomic indicators is presented in the paper. The main advantage of genetic programming over artificial neural networks is that it generates human readable mathematical expressions that can be interpreted by a decision-maker. Gen...

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Bibliographic Details
Published inComputational Collective Intelligence. Technologies and Applications pp. 445 - 454
Main Authors Duda, Jerzy, Szydło, Stanisław
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
collective intelligence
forecasting models
genetic programming
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Summary:A collective approach to the problem of developing forecasts for macroeconomic indicators is presented in the paper. The main advantage of genetic programming over artificial neural networks is that it generates human readable mathematical expressions that can be interpreted by a decision-maker. Gene expression programming used in the paper is an example of collective adaptive system, but we propose to use a collective intelligence to develop not only one forecasting model, but a set of models, from which the most suitable one can be chosen automatically or manually by the decision-maker.
ISBN:3642239374
9783642239373
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-23938-0_45