Title
Adaptive conceding strategies for automated trading agents in dynamic, open markets
Abstract
One of the crucial issues of automated negotiation in multi-agent systems is how to reach an agreement when a negotiation environment becomes open and dynamic. Even though some strategies have been proposed by researchers, most of them can only work within a static negotiation environment. In this paper, we present a model for designing a strategy for agents that makes adjustable rates of concession by negotiating according to the changes of environments with uncertain and dynamic outside options. This proposal is based on the market-driven agents (MDAs) model, and is guided by four factors in order to determine the degree of concession. These factors are trading opportunity, trading competition, trading time and strategy, and eagerness. The contribution of this paper is extending the MDAs model to an open and dynamic negotiation environment by considering both the current and potential changes of the environment.
Year
DOI
Venue
2009
10.1016/j.dss.2008.11.005
Decision Support Systems
Keywords
Field
DocType
automated trading agent,negotiation environment,crucial issue,automated negotiation,multi-lateral negotiation,open market,negotiation agents,bargaining,trading competition,dynamic negotiation environment,static negotiation environment,adjustable rate,trading time,dynamic outside option,mdas model,e-markets,multi agent system
Trading strategy,Intelligent agent,Open market operation,Computer science,Knowledge management,Stock exchange,Risk analysis (engineering),Software architecture,Open system (systems theory),Algorithmic trading,Operations management,Negotiation
Journal
Volume
Issue
ISSN
46
3
Decision Support Systems
Citations 
PageRank 
References 
30
1.22
20
Authors
3
Name
Order
Citations
PageRank
Fenghui Ren115320.05
Minjie Zhang225530.01
Kwang Mong Sim3132686.94