Abstract. This paper presents a new bidding strategy for continuous double auctions (CDA) designed for Mertacor, a successful trading agent, which won the first price in the “travel game ” of Trading Agent Competition (TAC) for 2005. TAC provides a realistic benchmarking environment in which various travel commodities are offered in simultaneous online auctions. Among these, entertainment tickets are traded in CDA. The latter, represent the most dynamic part of the TAC game, in which agents are both sellers and buyers. In a CDA many uncertainty factors are introduced, because prices are constantly changing during the game and price fluctuations are hard to be predicted. In order to deal with these factors of uncertainty we have designed a s...
A double auction game with an infinite number of buyers and sellers is introduced. All sellers posse...
We develop a general framework in which real-time Dynamic Programming (DP) can be used to formulate ...
Software agents are increasingly being used to represent humans in on-line auctions. Such agents hav...
AbstractIn this paper, we describe a novel bidding strategy that autonomous trading agents can use t...
Online auctions are a platform to trade goods on the Internet. In this context, negotiation capabili...
We develop a novel bidding strategy that software agents can use to buy and sell goods in Continuous...
In this paper we describe the IAMwildCAT agent, designed for the TAC Market Design game which is par...
The prevalence of on-line auctions has stimulated the interest of both the economists and computer s...
As computational agents are developed for increasingly complicated e-commerce applications, the comp...
\u3cp\u3eSoftware agents can act flexibly in a variety of electronic marketplaces. Continuous Double...
We expect an e-commerce infrastructure to be populated by software agents who buy and sell goods on ...
In developing open, heterogeneous and distributed multi-agent systems researchers often face a probl...
In this thesis we investigate if reinforcement learning (RL) techniques can be successfully used to...
We model a continuous double auction with heterogeneous agents and compute approximate optimal tradi...
Auction mechanism design is a subeld of game theory dedi-cated to manipulating the rules of an aucti...
A double auction game with an infinite number of buyers and sellers is introduced. All sellers posse...
We develop a general framework in which real-time Dynamic Programming (DP) can be used to formulate ...
Software agents are increasingly being used to represent humans in on-line auctions. Such agents hav...
AbstractIn this paper, we describe a novel bidding strategy that autonomous trading agents can use t...
Online auctions are a platform to trade goods on the Internet. In this context, negotiation capabili...
We develop a novel bidding strategy that software agents can use to buy and sell goods in Continuous...
In this paper we describe the IAMwildCAT agent, designed for the TAC Market Design game which is par...
The prevalence of on-line auctions has stimulated the interest of both the economists and computer s...
As computational agents are developed for increasingly complicated e-commerce applications, the comp...
\u3cp\u3eSoftware agents can act flexibly in a variety of electronic marketplaces. Continuous Double...
We expect an e-commerce infrastructure to be populated by software agents who buy and sell goods on ...
In developing open, heterogeneous and distributed multi-agent systems researchers often face a probl...
In this thesis we investigate if reinforcement learning (RL) techniques can be successfully used to...
We model a continuous double auction with heterogeneous agents and compute approximate optimal tradi...
Auction mechanism design is a subeld of game theory dedi-cated to manipulating the rules of an aucti...
A double auction game with an infinite number of buyers and sellers is introduced. All sellers posse...
We develop a general framework in which real-time Dynamic Programming (DP) can be used to formulate ...
Software agents are increasingly being used to represent humans in on-line auctions. Such agents hav...