ATTac-2000: An Adaptive Autonomous Bidding Agent

ATTac - 2000 : An Adaptive Autonomous Bidding

The First Trading Agent Competition (TAC) was held from June 22nd to July 8th, 2000. TAC was designed to create a benchmark problem in the complex domain of e-marketplaces and to motivate researchers to apply unique approaches to a common task. This article describes ATTac-2000, the rst-place nisher in TAC. ATTac-2000 uses a princi-pled bidding strategy that includes several elements of adaptiv...

ATTac-2001: A Learning, Autonomous Bidding Agent

Auctions are becoming an increasingly popular method for transacting business, especially over the Internet. This paper presents a general approach to building autonomous bidding agents to bid in multiple simultaneous auctions for interacting goods. The core of our approach is learning a model of the empirical price dynamics based on past data and using the model to analytically calculate, to t...

ATTa - 2000 : An Adaptive Autonomous Bidding AgentPeter

An Adaptive Shill Bidding Agent

This paper presents a software bidding agent that inserts fake bids on the seller’s behalf to inflate an auction’s price. This behaviour is referred to as shill bidding. Shill bidding is strictly prohibited by online auctioneers, as it defrauds unsuspecting buyers by forcing them to pay more for the item. The malicious bidding agent was constructed to aid in developing shill detection technique...

An Autonomous Bidding Agent for Simultaneous Auctions

Market based mechanisms, such as auctions, will represent a widespread means of interaction for electronic commerce on the Internet. This paper is concerned with the problem of determining an efficient bidding policy in simultaneous auctions for goods that exhibit some complementarities and are substitutable. The First International Trading Agent Competition (TAC) held in Boston on July 8th, 20...