Introduction to queueing networks
Introduction to queueing networks
Learning in the recurrent random neural network
Neural Computation
Optimality and Risk in Purchase from Multiple Auctions
CIA '01 Proceedings of the 5th International Workshop on Cooperative Information Agents V
Optimal design of English auctions with discrete bid levels
Proceedings of the 6th ACM conference on Electronic commerce
Sequential auctions for objects with common and private values
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Computational-Mechanism Design: A Call to Arms
IEEE Intelligent Systems
A framework for autonomic networked auctions
Proceedings of the 2007 Workshop on INnovative SERvice Technologies
An Approximate Model for Bidders in Sequential Automated Auctions
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Performance of Auctions and Sealed Bids
EPEW '09 Proceedings of the 6th European Performance Engineering Workshop on Computer Performance Engineering
Migrating Auctioneers on Internet Auctions for Improved Utility and Performance
EPEW '09 Proceedings of the 6th European Performance Engineering Workshop on Computer Performance Engineering
MyAds: A system for adaptive pervasive advertisements
Pervasive and Mobile Computing
Analysing bidder performance in randomised and fixed-deadline automated auctions
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part II
Analysis of an automated auction with concurrent multiple unit acceptance capacity
ASMTA'10 Proceedings of the 17th international conference on Analytical and stochastic modeling techniques and applications
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Web based computerised auctions are increasingly present in the Internet, and we can imagine that in the future automated buyer and seller agents will conduct automated transactions in this manner. The purpose of this paper is to model automated bidders and sellers which interact through a computerised auction. We model bidding process using random processes with discrete state-space. We obtain analytical solutions for a variety of single auction models, including English and Vickrey auctions, and relate the income per unit time to the other parameters including the rate of arrival of bids, the seller's decision time, the value of the good, and the “rest time” of the seller between successive auctions. We examine how the seller's “decision time” impacts the expected income per unit time received by the seller, and illustrate its effect via numerical examples.