|
Title:
|
RISKS IN AGENT-SUPPORTED STOCK MARKET TRADING DECISION MAKING |
|
Author(s):
|
Shenghua Liu , Sacha Helfenstein , Pertti Saariluoma |
|
ISBN:
|
978-972-8924-60-7 |
|
Editors:
|
António Palma dos Reis |
|
Year:
|
2008 |
|
Edition:
|
Single |
|
Keywords:
|
Agent, Human-Agent Interaction, Decision making, Stock market forecasting |
|
Type:
|
Full Paper |
|
First Page:
|
109 |
|
Last Page:
|
116 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
In structured rational decision making specialists apply their domain knowledge to make informed decisions between
alternatives based on their value estimates. However, in conditions with high degree of uncertainty, time pressures, or
great information load, for instance, rational decision making strategies may be impaired or even impossible. This is the
case in dynamic, ambiguous environments such as stock market trading. Having professional knowledge, agents can
therefore support users decision making through forecasting information. Even so, exactly how the agent will perform
and influence peoples trading behavior is difficult to predict, and bears risks. In this paper, benefits and challenges of
agent-supported decision making are explicated using two experiments carried out in a virtual stock market setting |
|
|
|
|
|
|
