Title
Automated Negotiation and Bundling of Information Goods.
Abstract
In this paper, we present a novel system for selling bundles of news items. Through the system, customers bargain with the seller over the price and quality of the delivered goods. The advantage of the developed system is that it allows for a high degree of flexibility in the price, quality, and content of the offered bundles. The price, quality, and content of the delivered goods may, for example, differ based on daily dynamics and personal interests of customers. Autonomous "software agents" execute the negotiation on behalf of the users of the system. To perform the actual negotiation these agents make use of bargaining strategies. We decompose bargaining strategies into concession strategies and Pareto efficient search strategies. Additionally, we introduce the orthogonal and orthogonal-DF strategy: two Pareto search strategies. We show through computer experiments that the use of these Pareto search strategies will result in very efficient bargaining outcomes. Moreover, the system is set up such that it is actually in the best interest of the customer to have their agent adhere to this approach of disentangling the bargaining strategy.
Year
DOI
Venue
2003
10.1007/978-3-540-25947-3_1
AGENT-MEDIATED ELECTRONIC COMMERCE V: DESIGNING MECHANISMS AND SYSTEMS
Keywords
Field
DocType
software agent,electronic business,computer experiment,information good
Computer experiment,Intelligent agent,Computer security,Computer science,Microeconomics,Software agent,Autonomous system (mathematics),Information good,Pareto principle,Distributed computing,Negotiation
Conference
Volume
ISSN
Citations 
3048
0302-9743
17
PageRank 
References 
Authors
2.23
10
4
Name
Order
Citations
PageRank
D. J. A. Somefun11118.48
Enrico H. Gerding275977.42
Sander M. Bohte336534.58
Johannes A. La Poutré430824.78