Bargaining with incomplete information
OA Location
Author(s)
Fatima, S
Wooldridge, M
Jennings, NR
Type
Journal Article
Abstract
This paper analyses the process and outcomes of competitive bilateral negotiation for a model based on negotiation decision functions. Each agent has time constraints in the form of a deadline and a discounting factor. The importance of information possessed by participants is highlighted by exploring all possible incomplete information scenarios - both symmetric and asymmetric. In particular, we examine a range of negotiation scenarios in which the amount of information that agents have about their opponent’s parameters is systematically varied. For each scenario, we determine the equilibrium solution and study its priorities. The main results of our study are as follows. Firstly, in some scenarios agreement takes place at the earlier deadline, while in others it takes place near the beginning of negotiation. Secondly, in some scenarios the price surplus is split equally between the agents while in others the entire price surplus goes to a single agent. Thirdly, for each possible scenario, the equilibrium outcome possesses the properties of uniqueness and symmetry - although it is not always Pareto optimal. Finally, we also show the relative impacts of the opponent’s parameters on the bargaining outcome.
Date Issued
2005-07-30
Date Acceptance
2005-07-01
Citation
Annals of Mathematics and Artificial Intelligence, 2005, 44 (3), pp.207-232
ISSN
1573-7470
Publisher
Springer Verlag
Start Page
207
End Page
232
Journal / Book Title
Annals of Mathematics and Artificial Intelligence
Volume
44
Issue
3
Copyright Statement
© Springer Verlag 2005. The final publication is available at Springer via http://dx.doi.org/10.1007/s10472-005-4688-7
Identifier
http://eprints.soton.ac.uk/258579/
Subjects
Science & Technology
Technology
Physical Sciences
Computer Science, Artificial Intelligence
Mathematics, Applied
Computer Science
Mathematics
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
MATHEMATICS, APPLIED
negotiation
game theory
incomplete information
AUTOMATED NEGOTIATION
AGENTS
MODEL
Artificial Intelligence & Image Processing
0801 Artificial Intelligence And Image Processing
0802 Computation Theory And Mathematics
0102 Applied Mathematics
Publication Status
Published