Abstract. For a number of years we have been working towards the goal of automatically creating auction mechanisms, using a range of techniques from evolutionary and multi-agent learning. This paper gives an overview of this work. The paper presents results from several experiments that we have carried out, and tries to place these in the context of the overall task that we are engaged in.
We show that adaptive agents on the Internet can learn to exploit bidding agents who use a (limited)...
M.Sc.This dissertation investigates how auctioneer agents can maximise the revenue of an auction. Au...
Due to the proliferation of online auctions, there is an increasing need to monitor and bid in multi...
We present a novel method for automatically acquiring strategies for the double auction by combining...
In developing open, heterogeneous and distributed multi-agent systems researchers often face a probl...
This paper aims to contribute to the study of auction design within the domain of agent-based comput...
In this paper, we present a genetic algorithmic approach to automated auction mechanism design in th...
This paper presents an approach to automated mechanism design in the domain of double auctions. We d...
Due to the proliferation of online auctions, there is an increasing need to monitor and bid in multi...
I have developed a multiagent system platform that provides a valuable complement to the alternative...
This paper presents an approach to automated mechanism design in the domain of double auctions. We d...
Due to the proliferation of online auctions, there is an increasing need to monitor and bid in multi...
This chapter explores the state of the emerging practice of designing markets by the use of agent-ba...
Game theory has been developed by scientists as a theory of strategic interaction among players who ...
The proposed research is an extension of a previous project under SCF0003-ICT-2006. The previous pro...
We show that adaptive agents on the Internet can learn to exploit bidding agents who use a (limited)...
M.Sc.This dissertation investigates how auctioneer agents can maximise the revenue of an auction. Au...
Due to the proliferation of online auctions, there is an increasing need to monitor and bid in multi...
We present a novel method for automatically acquiring strategies for the double auction by combining...
In developing open, heterogeneous and distributed multi-agent systems researchers often face a probl...
This paper aims to contribute to the study of auction design within the domain of agent-based comput...
In this paper, we present a genetic algorithmic approach to automated auction mechanism design in th...
This paper presents an approach to automated mechanism design in the domain of double auctions. We d...
Due to the proliferation of online auctions, there is an increasing need to monitor and bid in multi...
I have developed a multiagent system platform that provides a valuable complement to the alternative...
This paper presents an approach to automated mechanism design in the domain of double auctions. We d...
Due to the proliferation of online auctions, there is an increasing need to monitor and bid in multi...
This chapter explores the state of the emerging practice of designing markets by the use of agent-ba...
Game theory has been developed by scientists as a theory of strategic interaction among players who ...
The proposed research is an extension of a previous project under SCF0003-ICT-2006. The previous pro...
We show that adaptive agents on the Internet can learn to exploit bidding agents who use a (limited)...
M.Sc.This dissertation investigates how auctioneer agents can maximise the revenue of an auction. Au...
Due to the proliferation of online auctions, there is an increasing need to monitor and bid in multi...