Design and implementation of an agent-based intermediary infrastructure for electronic markets

Tewari, Gaurav; Maes, Pattie

doi:10.1145/352871.352881

Cited by 18 publications

(11 citation statements)

References 9 publications

(13 reference statements)

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“…For this reason, these proposals have addressed mainly architectural and technological issues related to e-marketplace development, such as security or distribution. Among others, we could mention [5,9,31] together with the references therein.…”

Section: Related Workmentioning

confidence: 99%

A platform independent model for the electronic marketplace domain

Queralt

Teniente

2007

Softw Syst Model

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Abstract. An electronic marketplace supports interactions between multiple users for the exchange of information on products for sale or purchase. The significance of electronic marketplaces is apparent from the huge number of websites that currently provide services in almost any area one can think of. However, the absence of clear documentation on the similarities that these sites share restricts the reutilization of software for the development of new electronic marketplaces.To improve this situation, we propose a Platform Independent Model (PIM) for the e-marketplace domain that describes both the structural and behavioral properties of a generic electronic marketplace. Specific application PIMs aimed at generating different e-marketplaces can be obtained from our generic domain PIM by adapting it to each of the requirements of the application. In this way, reutilization of our domain PIM contributes to a reduction in the cost and time involved in the development of new electronic marketplaces.

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Section: Related Workmentioning

confidence: 99%

A platform independent model for the electronic marketplace domain

Queralt

Teniente

2007

Softw Syst Model

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“…Our research was inspired by agent-mediated e-commerce systems with brokering, matchmaking, and bilateral negotiation. For example, MARI [18] was proposed as an agent-based intermediary architecture capable of supporting multiple sellers and buyers within a multiple product domain. MARI builds upon multi-attribute utility theory formulation, as introduced in Tete-a-Tete [9].…”

Section: Related Workmentioning

confidence: 99%

Modeling e-Procurement as Co-adaptive Matchmaking with Mutual Relevance Feedback

Hishiyama

Ishida

2005

Intelligent Agents and Multi-Agent Systems

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Abstract. This paper proposes a new e-procurement model for a large number of buyers and sellers interacting via the Internet. The goal of e-procurement is to create a satisfactory match between buyers' demand and sellers' supply. From our real-world experience, we view e-procurement as a process of negotiation to increase the matching quality of two corresponding specifications: one for buyers' demand and another for sellers' supply. To model scalable e-procurement, we propose a co-adaptive matchmaking mechanism using mutual relevance feedback. In order to understand the nature of the mechanism, we have developed two types of software agents, called e-buyers and e-sellers, to simulate human buyers and sellers. Multiagent simulation results show that the matching quality is incrementally improved if agents adaptively change their specifications. A realistic example is also provided to discuss how to extend our simulation to real-world e-procurement infrastructure.

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“…Tewari and Maes [17] describe the MARI project, which aims at developing an agent-mediated e-marketplace infrastructure for matching buyers and sellers. Each buyer and each seller is represented by an agent, which represents that buyer or seller's preferences via a multi-attribute utility function.…”

Section: Related Workmentioning

confidence: 99%

“…More recently researchers have sought to exploit the electronic infrastructure of emarketplaces and the wealth of information that can be gathered in e-marketplaces to provide sophisticated methods of matching buyers and sellers, using agent-based, auctionbased, and broker-based techniques. Of the work in this area that has addressed profitability of the e-marketplace, the overriding concern has been for maximization of singleperiod revenues [8,17,14], with less attention paid to how the techniques fit within a more strategic business model. But as the dramatic down-turn in the e-commerce sector demonstrated, e-business initiatives require solid business models that clearly relate the services provided to the overall profitability of the company [15].…”

Section: Introductionmentioning

confidence: 99%

Balanced matching of buyers and sellers in e-marketplaces

Haddawy

Rujikeadkumjorn

Dhananaiyapergse

et al. 2004

Proceedings of the 6th International Conference on Electronic Commerce - ICEC '04

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In this paper, we describe the operation of barter trade exchanges by identifying key techniques used by trade brokers to stimulate trade and satisfy member needs, and present algorithms to automate some of these techniques. In particular, we develop algorithms that emulate the practice of trade brokers by matching buyers and sellers in such a way that trade volume is maximized while the balance of trade is maintained as much as possible. We show that the buyer/seller matching and trade balance problems can be decoupled, permitting efficient solution as well as numerous options for matching strategies.We model the trade balance problem as a minimum cost circulation problem (MCC) on a network. When the products have uniform cost or when the products can be traded in fractional units, we solve the problem exactly. Otherwise, we present a novel stochastic rounding algorithm that takes the fractional optimal solution to the trade balance problem and produces a valid integer solution. We then make use of a greedy heuristic that attempts to match buyers and sellers so that the average number of suppliers that a buyer must use to satisfy a given product need is minimized.We present results on the empirical evaluation of our algorithms on test problems and simulations. Experiments show that our algorithm (MCC + stochastic rounding) runs in a fraction of the time of a commercial mixed integer programming (MIP) package while producing solutions that are always within 0.7% of the MIP solution. We evaluate the effectiveness of our algorithm on maintaining balance and on stimulating trade using two different simulation techniques, both based on transaction history data from a trade exchange. The simulation results support the barter trade exchange rule of thumb that maximizing single-period trade volume while maintaining balance of trade helps to maximize trade volume over the long run.

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Design and implementation of an agent-based intermediary infrastructure for electronic markets

Cited by 18 publications

References 9 publications

A platform independent model for the electronic marketplace domain

A platform independent model for the electronic marketplace domain

Modeling e-Procurement as Co-adaptive Matchmaking with Mutual Relevance Feedback

Balanced matching of buyers and sellers in e-marketplaces

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