A. Greenwald and J. Kephart. Shopbots and pricebots. In Proceedings of 16th International Joint Conference on Artificial Intelligence, volume 1, pages 506--511, August 1999. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
First 50 documents Next 50
Pricing Price Information In E-Commerce - Panos Markopoulos Computer (2001) (Correct)
....settings, because sellers retain a degree of monopoly power over their information. 2.2. Applications to multiagent systems There has been much interest in the design and development of multiagent systems comprised of economically motivated software agents [22] Primitive multiagent economies [8] shed light into future forms of online shopping and multiagent, market based, solutions are tested in fields ranging from train scheduling to temperature control with the goal of achieving better resource allocation than traditional solutions [15] 7] A common problem arises in many ....
Amy R. Greenwald and Jeffrey O. Kephart. Shopbots and pricebots. In Proceedings of the 16th International Joint Conference on Artificial Intelligence, 1999.
Automated Negotiation and Bundling of Information Goods - Somefun, Gerding, Bohte, .. (2003) (5 citations) (Correct)
....loss of generality, be discarded. add an amplifying mechanism to the orthogonal strategy. As the amplifying mechanism we use the derivative follower with adaptive step size (ADF) Henceforth we will call this the orthogonal DF. The derivative follower (DF) is a local search algorithm (cf. [8, 7, 10]) It adjust the variable price pv found by the orthogonal strategy by either subtracting or adding # to it, where # is called the step size of the DF. Consequently also the fixed price pf changes because the adjusted o#er still needs to generate the same utility level (specified by the concession ....
A. R. Greenwald and J. O. Kephart. Shopbots and pricebots. In Proceedings of Sixteenth International Joint Conference on Artificial Intelligence, volume 1, Stockholm, Augusts 1999.
Optimising Performance of Competing Search Engines in.. - Khoussainov, Kushmerick (2003) (Correct)
....may have different strategies for selecting the seller, ranging from random to the selection of the cheapest seller on the market (bargain hunters) while the sellers use the same pricing strategy. A similar model but with populations of sellers using different strategies has been studied in [14]. The pricing problem can be viewed as a very simple instance of our topic selection task (namely, as a single topic case with some modifications to the performance model) 6 Conclusions and Future Work The successful deployment of heterogeneous Web search environments will require that ....
Greenwald, A., Kephart, J.: Shopbots and pricebots. In: Proc. of the 16th Intl. Joint Conf. on AI. (1999) 506--511
An Evolutionary Framework for Studying Behaviors of.. - Ketter, Babanov, Gini (2003) (Correct)
....have written a survey article aimed at understanding collective interactions among agents that dynamically price services or goods [12] They discuss and compare several pricing strategies. Examples of price wars caused by agents that dynamically price their information bundles are described in [11]. The data used for the experiments are not real data, but are generated synthetically making some economic assumptions and using random distributions. Because of the complexity in analyzing experimental results, experiments are limited to two agents. Understanding collective interactions among ....
J. O. Kephart and A. R. Greenwald. Shopbots and pricebots. In A. Moukas, C. Sierra, and F. Ygge, editors, Agent Mediated Electronic Commerce II, volume LNAI1788. Springer-Verlag, 2000.
Optimising Performance of Competing Search Engines in.. - Khoussainov, Kushmerick (2003) (Correct)
....may have different strategies for selecting the seller, ranging from random to the selection of the cheapest seller on the market (bargain hunters) while the sellers use the same pricing strategy. A similar model but with populations of sellers using different strategies has been studied in [14, 15, 16] The pricing problem can be viewed as a very simple instance of our topic selection task (namely, as a single topic case with some modifications to the performance model) 7 Conclusions and Future Work Heterogeneous search environments provide access to arguably much larger volumes of ....
A. R. Greenwald and J. O. Kephart, "Shopbots and pricebots, " in Proceedings of the 16th International Joint Conference on Artificial Intelligence (IJCAI-99-Vol1) (D. Thomas, ed.), (S.F.), pp. 506--511, Morgan Kaufmann Publishers, July 31--Aug. 6 1999.
Auction Design with Costly Preference Elicitation - Parkes (2003) (3 citations) (Correct)
.... the solution to hard optimization problems, e.g. scheduling problems, by the computational agent [34] In fact, electronic markets may make the valuation problem more difficult, because of mitigating factors such as decreased aggregation, increased product differentiation, and increased dynamics [2, 13, 15]. Just as careful market design can reduce the complexity of the bidding problem, for example by providing incentives that make truthful bidding a A preliminary version of this paper appeared in the Proc. of the IJCAI 99 Workshop on Agent Mediated Electronic Commerce. Kluwer Academic ....
Greenwald, A. and J. O. Kephart: 1999, `Shopbots and Pricebots'. In: Proc. 16th International Joint Conference on Artificial Intelligence (IJCAI-99). pp. 506--511.
A Model for Discovering Customer Value for E-Content - Jagannathan, Nayak.. (2002) (Correct)
....We believe that our work strikes a balance between resource considerations and customers value for the content. To the best of our knowledge there has been very little research on online price discovering algorithms [11, 12] Most research has been focussed on agent based market economies [3, 6, 9]. 7. CONCLUSIONS AND FUTURE WORK We have developed an analytical framework for pricing of ondemand content. The framework models customer behavior as well as resource constraints. Based on this framework, we have developed an algorithm that suggests prices to the content provider. We have ....
A. Greenwald and J. Kephart. Shopbots and pricebots. In Sixteenth International Joint Conference on Artificial Intelligence, August 1999.
Autonomous Cooperating Web Crawlers - McLearn (2002) (2 citations) (Correct)
....can be applied to the decision making process used by crawlers capable of exchanging information by assuming that mutual cooperation can yield the greatest benefit. Nash equilibria are especially useful for dealing with cooperative crawlers that mutually exchange information with one another[19]. Mutual cooperation can a#ect the entire system of crawlers. If a set of strategies are being used to exchange information, a Nash Equilibrium occurs when no single crawler can change their A version of the Prisoner s Dilemma can be read at http: williamking. ....
Amy R. Greenwald and Je#rey O. Kephart. Shopbots and Pricebots. In Agent Mediated Electronic Commerce (IJCAI Workshop), pages 1--23, 1999.
Incentive Compatibility on Multiple Internet Auctions - Ito, Hattori, Shintani (2002) (Correct)
....proxy bid programs cannot participate in multiple auction sites. One of the most famous agents is ShopBot[2] ShopBot helps users to find desired shops or goods from the Internet. The main function of ShopBot is to find a web site or a description of goods based on the user s preference. Greenwald[3] analyzed a future situation in which there were many ShopBots and consequently proposed PriceBot in order to enable sellers to price dynamically. However, ShopBot cannot make a bid in multiple auctions. ShopBot mainly retrieves information from shop sites. In contrast, we focus on bidding support ....
....proposed PriceBot in order to enable sellers to price dynamically. However, ShopBot cannot make a bid in multiple auctions. ShopBot mainly retrieves information from shop sites. In contrast, we focus on bidding support agents that can make bids in multiple auctions. Furthermore, while Greenwald s[3] analysis is based on using a lot of information gathering agents, i.e. ShopBot, our analysis is based on using a lot of bidding support agents. This paper consists of four sections. In Section 2, we formalize an electronic commerce model in which people trade their goods via multiple auction ....
Greenwald, R. R., and Kephart., J. O., "Shopbots and pricebots", in Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-99), pp. 506--511, 1999.
Competitive Bundling of Categorized Information Goods - Jeffrey Kephart Institute (2000) (1 citation) Self-citation (Kephart) (Correct)
No context found.
A. Greenwald and J. Kephart. Shopbots and pricebots. In Proceedings of 16th International Joint Conference on Artificial Intelligence, volume 1, pages 506--511, August 1999.
Probabilistic Pricebots - Amy Greenwald Department (2000) (3 citations) Self-citation (Greenwald Kephart) (Correct)
No context found.
A. Greenwald and J. Kephart. Shopbots and pricebots. In Proceedings of Sixteenth International Joint Conference on Arti cial Intelligence, volume 1, pages 506-511, August 1999.
On No-Regret Learning, Fictitious Play, and Nash.. - Greenwald, Jafari.. (2001) Self-citation (Greenwald) (Correct)
No context found.
A.R. Greenwald and J.O. Kephart. Shopbots and pricebots. In Agent-mediated Electronic Commerce II, volume 1788 of Lecture Notes on Arti cial Intelligence. Springer-Verlag, 2000.
How Valuable are Shopbots? - Panos Markopoulos Computer Self-citation (Kephart) (Correct)
....about a book s price can be about 6 to 10 as valuable as the book itself. Keywords shopbots, brand, price dispersion, information value 1. INTRODUCTION Shopbots comparison shopping web sites that collate information on products from multiple vendors can be a very valuable tool for buyers [1, 8]. Typically, they permit buyers to sort product and vendor information along desired dimensions, such as price, delivery time, or vendor reputation. The most sophisticated shopbots even provide personalized rankings that take into account an individual buyer s product and vendor preferences. ....
A. Greenwald and J. O. Kephart. Shopbots and pricebots. In Proceedings of IJCAI '99, 1999.
Fair and Efficient Solutions to the Santa Fe Bar Problem - Farago, Greenwald, Hall (2002) (1 citation) Self-citation (Greenwald) (Correct)
....is constrained; likewise, his behavior is taken to be boundedly rational. Assume the mayor sets a fee according to his beliefs about the population of Santa Fe, and updates the fee weekly according to the trend in utility. One simple algorithm for adjusting the fee is derivative following [5], which experiments with incremental changes, continuing to move in the same direction until average utility decreases, at which point the direction of movement is reversed: given increment 0, the fee f t 1 = f t [sign(f t f t 1 )sign(u t u t 1 ) where u t is the agents average utility ....
A.R. Greenwald and J.O. Kephart. Shopbots and pricebots. In Proceedings of Sixteenth International Joint Conference on Artificial Intelligence, volume 1, pages 506--511, August 1999.
Economic Dynamics of Agents in Multiple Auctions - Preist, Byde, Bartolini (2001) (7 citations) (Correct)
No context found.
A. R. Greenwald and J. O. Kephart. Shopbots and pricebots. In Proceedings of the 16th International Joint Conference on Artificial Intelligence , 1999.
Auction Design with Costly Preference Elicitation - Parkes (2003) (3 citations) (Correct)
No context found.
Greenwald, A. and J. O. Kephart: 1999, `Shopbots and Pricebots'. In: Proc. 16th International Joint Conference on Artificial Intelligence (IJCAI-99). pp. 506--511.
Mechanisms for Options: Solving the Composability Problem - Juda, Parkes (Correct)
No context found.
A. Greenwald and J. O. Kephart. Shopbots and pricebots. In Proc. 16th International Joint Conference on Artificial Intelligence (IJCAI-99), pages 506--511, 1999.
An Options-Based Method to Solve the Composability Problem in.. - Juda, Parkes (Correct)
No context found.
A. Greenwald and J. O. Kephart. Shopbots and pricebots. In Proc. 16th International Joint Conference on Artificial Intelligence (IJCAI-99), pages 506--511, 1999.
Achieving Economic and Computational Efficiency - Parkes (Correct)
No context found.
Amy Greenwald and Jeffrey O Kephart. Shopbots and pricebots. In Proc. 16th International Joint Conference on Artificial Intelligence (IJCAI-99).
Erik Dahlgren - Thesis For Diploma (Correct)
No context found.
Amy R. Greenwald, and Jeffrey O. Kephart, Shopbots and Pricebots, Proceedings of Sixteenth International Joint Conference on Artificial Intelligence, Stockholm, Sweden, August 1999 58
Challenges in Large-Scale Open Agent Mediated Economies - Willmott, Calisti, Rollon (2002) (1 citation) (Correct)
No context found.
Amy R. Greenwald and Je#rey O. Kephart. Shopbots and pricebots. In Agent Mediated Electronic Commerce (IJCAI Workshop), pages 1--23, 1999.
Service Brokerage with Prolog - Cheun Ngen Chong (Correct)
No context found.
A. R. Greenwald and J. O. Kephart. Shopbots and pricebots. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, pages 506--511. Morgan Kaufmann Publishers Inc., 1999.
Implementation of a Multiagent System for Competitive.. - Onjo, Far (2002) (Correct)
No context found.
Greenwald AR, Kepgart JO. Shopbots and pricebots. Proc 16th Int Conference on Artificial Intelligence, 1999, p 506--511.
Optimal Auction Design for Agents with Hard Valuation Problems - Parkes (1999) (27 citations) (Correct)
No context found.
Greenwald, A., and Kephart, J. O. 1999. Shopbots and pricebots. In Proc. 16th International Joint ConferenceonArti#cial Intelligence #IJCAI-99#, 506#511.
Optimal Auction Design for Agents with Hard Valuation Problems - Parkes (1999) (27 citations) (Correct)
No context found.
Greenwald, A., and Kephart, J. O. 1999. Shopbots and Pricebots. In Proc. 16th International Joint ConferenceonArti#cial Intelligence #IJCAI-99#.
First 50 documents Next 50
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC