
A Framework for Developing Experience Based e-Negotiation System
Author(s) -
Hasan Al-Sakran,
Irina Serguievskaia
Publication year - 2006
Publication title -
journal of computer sciences/journal of computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.161
H-Index - 28
eISSN - 1552-6607
pISSN - 1549-3636
DOI - 10.3844/jcssp.2006.180.184
Subject(s) - computer science , negotiation , case based reasoning , process (computing) , mobile agent , knowledge base , base (topology) , artificial intelligence , human–computer interaction , distributed computing , political science , law , mathematical analysis , mathematics , operating system
In this study we propose multi-agent distributed electronic negotiation system, where the learning process is facilitated by using the CBR approach in combination with case database and addition of ability to roam through a network allows considering outside options using mobile agent technology. CBR is an AI methodology which combines re-use of the past experiences with case base. Cases similar to the current case at hand are retrieved from case base, revised and used to develop new offers and counter-offers