- author = "Chung-Ching Tai",
- title = "Human Learning Behavior versus Software Trading: The Influences of Cognitive Capacity on Learning Behavior",
- school = "Department of Economics, National Chengchi University",
- year = "2008",
- address = "Taiwan",
- keywords = "genetic algorithms, genetic programming, Agent-based Computational Economic Models, Double Auction Markets, Trading Strategies, Learning, IQ, Heterogeneous Agents",
-
URL = "
http://thesis.lib.nccu.edu.tw/cgi-bin/gs32/gsweb.cgi/ccd=L.S.Df/record?r1=1&h1=0",
-
URL = "http://nccur.lib.nccu.edu.tw/handle/140.119/35796",
- size = "157 pages",
-
abstract = "The study of a series of human-agent interactions as
well as computerised trading tournaments in double
auction markets has exhibited a general superiority of
computerized trading strategies over learning agents.
The ineffectiveness of learning motivates the study of
learning versus designed trading agents in this
research. We therefore initiates a series of
experiments to test the capability of learning GP
agents and rationally-designed trading strategies. The
results shows that with the cost of time, eventually
learning agents can beat all other trading
strategies.
At the same time, the notion of intelligence is introduced into the model to investigate the influence of individual intelligence on learning ability. We use the population size of the GP trader as the proxy variable of IQ which is a measure of general intelligence. The results show that individuals with higher intelligence can perform better than those with lower intelligence, which manifests its importance discovered in Psychological research.",
-
notes = "In Chinese. PDF online as several files.
Advisor Shu Heng Chen",
