Economic Models of Innovations: Why GP Can Be a Possible Way Out?

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{Chen:2003:AAAIs,

• author = "Shu-heng Chen and Bin-tzong Chie",
• title = "Economic Models of Innovations: Why {GP} Can Be a Possible Way Out?",
• booktitle = "AAAI Spring Symposium, Computational Synthesis: From Basic Building Blocks to High Level Functionality",
• year = "2003",
• editor = "Hod Lipson and Erik K. Antonsson and John R. Koza",
• number = "SS-03-02",
• series = "AAAI Technical Report",
• publisher_address = "Menlo Park, California, USA",
• publisher = "The AAAI Press",
• keywords = "genetic algorithms, genetic programming",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.522.5910",
• URL = "https://aaai.org/Library/Symposia/Spring/2003/ss03-02-007.php",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.522.5910",
• URL = "http://www.aaai.org/Papers/Symposia/Spring/2003/SS-03-02/SS03-02-007.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 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.",

}

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

Citations