توضیحات
ABSTRACT
Online auctions are one of the most effective ways of negotiation of salable goods over the internet. Software agents are increasingly being used to represent humans in online auctions. These agents can systematically monitor a wide variety of auctions and can make rapid decisions about what bids to place in what auctions. To be successful in open multi-agent environments, agents must be capable of adapting different strategies and tactics to their prevailing circumstances. This paper presents a software test-bed for studying autonomous bidding strategies in simulated auctions for procuring goods. It shows that agents’ bidding strategy explore the attitudes and behaviors that help agents to manage dynamic assessment of prices of goods given the different criteria and scenario conditions. Our agent also uses fuzzy techniques for the decision making: to make decisions about the outcome of auctions, and to alter the agent’s bidding strategy in response to the different criteria and market conditions.
INTRODUCTION
Online auctions (e.g. eBay, Amazon etc.) are one of the most effective ways of negotiation of sellable goods over the internet. In these on-line auctions buyers are faced with difficult task of deciding amount to bid in order to get the desired item matching their preferences. Due to the nature of the tasks involved in e-commerce, intelligent agent technology for the past decade has so far played an important role in its development of software agents in ecommerce transactions. Intelligent agents are systems that inhabit a dynamic, unpredictable environment in which they try to satisfy a set of time dependent goals or motivations. As compared to Expert systems [27], which are typically disembodied ‘expertise’ about some (abstract) domain of discourse agents are situated in an environment. Negotiation using agents will become a key part of next generation electronic commerce. The agents by playing the role of buyer, seller, mediator and facilitator automate different business negotiations. In automated negotiations, the agents prepare bids and evaluate offers in order to obtain the maximum return for the parties they represent. The agents can use different auction mechanisms (e.g. English, Dutch, Vickery) for procurement of goods or reaching agreement between agents. The agent makes decisions on behalf of buyer and endeavours to guarantee the delivery of item according to the buyer’s preferences. Such automated negotiations lead to dynamic pricing which ensures that goods and services are allocated to the entity that values them most highly. To this end, a number of researchers [1], [2], [4], [6], [13] have reported different frameworks that help an autonomous agent to tackle the problem of bidding in auctions .
Year: 2008
Publisher : PO
By : Madhu Goyal , Jie Lu and Guang Zhang
File Information: English Language/ 14 Page / size: 137 KB
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سال : 2008
ناشر : PO
کاری از : Madhu Goyal , Jie Lu and Guang Zhang
اطلاعات فایل : زبان انگلیسی / 14 صفحه / حجم : KB 137
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