Does Cognitive Capacity Matter When Learning Using Genetic Programming in Double Auction Markets?

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{conf/mabs/ChenTW09,

• title = "Does Cognitive Capacity Matter When Learning Using Genetic Programming in Double Auction Markets?",
• author = "Shu-Heng Chen and Chung-Ching Tai and Shu G. Wang",
• booktitle = "Multi-Agent-Based Simulation X",
• editor = "Gennaro {di Tosto} and H. {Van Dyke Parunak}",
• publisher = "Springer",
• year = "2009",
• volume = "5683",
• bibdate = "2010-09-03",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/mabs/mabs2009.html#ChenTW09",
• isbn13 = "978-3-642-13552-1",
• pages = "37--48",
• series = "Lecture Notes in Computer Science",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1007/978-3-642-13553-8_4",
• abstract = "The relationship between human subjects' cognitive capacity and their economic performances has been noticed in recent years due to the evidence found in a series of cognitive economic experiments. However, there are few agent-based models aiming to characterise such relationship. This paper attempts to bridge this gap and serve as an agent-based model with a focus on agents' cognitive capacity. To capture the heterogeneity of human cognitive capacity, this paper employs genetic programming as the algorithm of the learning agents, and then uses population size as a proxy parameter of individual cognitive capacity. By modelling agents in this way, we demonstrate a nearly positive relationship between cognitive abilities and economic performance.",
• notes = "MABS",

}

Genetic Programming entries for Shu-Heng Chen Chung-Ching Tai Shu G Wang

Citations