Multi-Agent Negotiation using Combinatorial Auctions with Precedence Constraints
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Multi-Agent Negotiation using Combinatorial Auctions with Precedence Constraints
Alternative title
Published Date
2002-02-18
Publisher
Type
Report
Abstract
We present a system for multi-agent contract negotiation, implemented as an auction-based market architecture called MAGNET. A principal feature of MAGNET is support for negotiation of contracts based on temporal and precedence constraints. We propose using an extended combinatorial auction paradigm to support these negotiations. A critical component of the agent negotiation process in a MAGNETsystem is the ability of a customer to evaluate the bids of competing suppliers. Winner determination in standard combinatorial auctions is known to be difficult, and the problem is further complicated by the addition of temporal constraints and a requirement to complete the winner-determination process within a hard deadline. We introduce two approaches to the extended winner determination problem. One is based on Integer Programming, and the other is a flexible, multi-criterion, anytime bid evaluator based on a simulated annealing framework. We evaluatethe performance of both approaches and show how performance data can be used in the agent's deliberation-scheduling process. The results show that coarse problem-size metrics can be effectively used to predict winner-determination processing time.
Keywords
Description
Related to
Replaces
License
Series/Report Number
Technical Report; 02-009
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Collins, John; Gini, Maria; Mobasher, Bamshad. (2002). Multi-Agent Negotiation using Combinatorial Auctions with Precedence Constraints. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215513.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.