Product design involves choosing from a vast array of components and subcomponents. By developing modular platforms and communicating with multiple suppliers each product becomes a bundle of attributes. The multitude of potential product configurations poses a challenge in identifying optimal configurations to offer customers. For most companies, the greatest challenge is measuring consumers’ m...

Methods of improving scalability in online auctions include limiting the number of bidding opportunities, providing price information to users, and recommending auctions that may be of interest to the users. We constructed an experimental prototype auction system in the context of reverse logistics for electronics products. Experiments were designed to test the effects of the number of trading ...

To be successful in multi-attribute auction, agents must be capable of adapting to continuous changing bidding price. This paper presents a novel fuzzy attitude based bidding strategy (FA-Bid), which employs dual assessment technique i.e. assessment of multiple attributes of the goods as well as assessment of agents attitude (eagerness) to procure an item in automated auction. The assessment of...

E-procurement transactions in Business to Business (B2B) environment showed a constant and positive trend in the last years. The most popular methodologies to support these tools are all related to dedicated protocols able to facilitate the agreements among customers and suppliers. This chapter proposes a Multi Agent Architecture integrated with several multi-attribute auction mechanisms specif...

In opportunistic networks, selfish nodes will refuse to forward messages for others to save their precious resources such as bandwidth, buffer and energy, and the system performance will degrade significantly. Therefore, it is necessary to motivate the selfish nodes to cooperatively forward messages. However, current cooperation mechanisms for opportunistic networks mainly focus on encouraging ...

Auctions have been getting increasing attention in computer science and economics, as they provide an efficient solution to resource allocation problems with self-interested agents. E-Commerce and finance have emerged as some of their largest application fields. The need for new auction mechanisms that allow complex bids such as bundle or multi-attribute bids has been raised in many situations....

This paper characterizes the family of truthful double-sided auctions. Despite the importance of double-sidedauctions to market design, to date no characterizationof truthful double-sided auctions was made. This pa-per characterizes truthful mechanisms for double-sidedauctions by generalizing Roberts classic result [29], toshow that truthful double-sided auctions must ”a...

An agent-based simulation of double-auction markets Ted Xiao Guo Master of Science Graduate Department of Computer Science University of Toronto 2005 Agent-based simulation has emerged as a promising research alternative to the traditional analytical approach in studying financial markets. The idea behind agent-based simulation is to constructively model a market in a bottom-up fashion using ar...

Auction-based models and protocols introduce money and pricing as the technique for coordination between users and producers of resources in grids. In this paper, we propose a multi-attribute reverse auction protocol to allocate grid resource. In order to enhance the information efficiency we develop a novel interactive approach supporting both user agents and producer agents. In this approach,...

This note gives pointers to what I think might be a good set of papers to read in order to obtain a grounding in auction theory, at least as it applies to work on the automated design of double auctions.