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Functional Modularity in the Fundamentals of Economic Theory: Toward an Agent-Based Economic Modeling of the Evolution of Technology

International Journal of Modern Physics B, 18(17-19): 2376--2386, 2004.
Authors: Shu-Heng Chen and Bin-Tzong Chie
Tags: Agent-based algorithms, computational economics, functional genetic innovation, modularity programming,
Abstract: No matter how commonly the term innovation has been used in economics, a concrete analytical or computational model of innovation is not yet available. This paper argues that a breakthrough can be made with genetic programming, and proposes a functional-modularity approach to an agent-based computational economic model of innovation.
| BibTeX  
@article{Shu-HengChen:2004:IJMPB,
title = {Functional Modularity in the Fundamentals of Economic Theory: Toward an Agent-Based Economic Modeling of the Evolution of Technology},
author = {Shu-Heng Chen and Bin-Tzong Chie},
journal = {International Journal of Modern Physics B},
month = {July 30},
number = {17-19},
pages = {2376--2386},
volume = {18},
year = {2004},
abstract = {No matter how commonly the term innovation has been used in economics, a concrete analytical or computational model of innovation is not yet available. This paper argues that a breakthrough can be made with genetic programming, and proposes a functional-modularity approach to an agent-based computational economic model of innovation.},
notes = {A1 AI-ECON Research Center, Department of Economics, National Chengchi University, Taipei, 116, Taiwan ROC}, doi = {doi:10.1142/S0217979204025403},
keywords = {Agent-based algorithms, computational economics, functional genetic innovation, modularity programming, }
}