Automated Negotiation from Declarative Contract Descriptions

Our approach for automating the negotiation of business contracts proceeds in three broad steps. First, determine the structure of the negotiation process by applying general knowledge about auctions and domain–specific knowledge about the contract subject along with preferences from potential buyer...

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Bibliographic Details
Published in:Computational intelligence Vol. 18; no. 4; pp. 482 - 500
Main Authors: Reeves, Daniel M., Wellman, Michael P., Grosof, Benjamin N.
Format: Journal Article
Language:English
Published: Boston, USA and Oxford, UK Blackwell Publishers Inc 01.11.2002
Subjects:
auctions
automated negotiation
declarative knowledge representation
e-commerce
electronic contracting
rule-based programming
situated courteous logic programs
ISSN:0824-7935, 1467-8640
Online Access:Get full text
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Summary:Our approach for automating the negotiation of business contracts proceeds in three broad steps. First, determine the structure of the negotiation process by applying general knowledge about auctions and domain–specific knowledge about the contract subject along with preferences from potential buyers and sellers. Second, translate the determined negotiation structure into an operational specification for an auction platform. Third, after the negotiation has completed, map the negotiation results to a final contract. We have implemented a prototype which supports these steps by employing a declarative specification (in courteous logic programs) of (1) high–level knowledge about alternative negotiation structures, (2) general–case rules about auction parameters, (3) rules to map the auction parameters to a specific auction platform, and (4) special–case rules for subject domains. We demonstrate the flexibility of this approach by automatically generating several alternative negotiation structures for the domain of travel shopping in a trading agent competition.
Bibliography:ark:/67375/WNG-DCMQDZX6-H
ArticleID:COIN199
istex:9255DE1B90F7A807644DBB867010C94E4638356F
ISSN:0824-7935
1467-8640
DOI:10.1111/1467-8640.00199