A Functional Modularity Approach to Agent-based Modeling of the Evolution of Technology," (with B.-T

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@Misc{oai:CiteSeerX.psu:10.1.1.483.8279,

• title = "A Functional Modularity Approach to Agent-based Modeling of the Evolution of Technology,{"} (with {B}.-{T}",
• author = "Shu-heng Chen and Bin-tzong Chie",
• publisher = "Springer",
• year = "2014",
• month = dec # "~17",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.483.8279",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• keywords = "genetic algorithms, genetic programming, agent-based computational economics, innovation, functional modularity",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.483.8279",
• URL = "http://www.aiecon.org/staff/shc/pdf/being.pdf",
• abstract = "No matter how commonly the term innovation has been used in economics, a concrete analytical or computational model of innovation is not yet avail-able. 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.",

}

Genetic Programming entries for Shu-Heng Chen Bin-Tzong Chie

Citations