Supporting the negotiation life cycle
Communications of the ACM
WWW-based negotiation support: design, implementation, and use
Decision Support Systems
Encyclopedia of Artificial Intelligence
Encyclopedia of Artificial Intelligence
Automated e-business negotiation: model, life cycle, and system architecture
Automated e-business negotiation: model, life cycle, and system architecture
Negotiation Paradigms Based on Knowledge Bead's Methodology
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
An agent architecture for multi-attribute negotiation using incomplete preference information
Autonomous Agents and Multi-Agent Systems
Enabling assisted strategic negotiations in actual-world procurement scenarios
Electronic Commerce Research
An agent architecture for multi-attribute negotiation
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
A comparison of sequential and simultaneous auctions
TADA/AMEC'06 Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
Towards the automation of e-negotiation processes based on web services – a modeling approach
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
Negotiation strategy for mobile agent-based e-negotiation
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
| Hi-index | 0.00 |
This paper focuses on knowledge empowered automated negotiation systems for buyer-centric multi-bilateral multi-attribute e-Procurement. We propose two knowledge empowered models, namely KERM and KACM. KERM is used for the buyer to determine a list of suppliers which are the best qualified candidates to negotiate with. The use of knowledge features largely in the model, which incorporates both the buyer’s and supplier’s profiles in evaluating a quote. Historical trade records of a supplier contribute to the supplier’s profile credit and therefore the rank of the supplier’s quote. KERM also allows the flexibility to assign appropriate weights, based on buyer’s interests, to each knowledge factor affecting the overall evaluation result of a quote. The resulted list of quotes of high rank is believed to produce satisfactory negotiation result for the buyer. KACM enables an automated concession process, while at the same time facilitates a flexible negotiation via the use of concept switch and tagged rules. Different from other negotiation models, KACM emphasizes the utilization of knowledge originated from the historical negotiation data in estimating and fine-tuning the negotiation parameters, for improving the performance of automated negotiation. Graph results show that our software prototype system makes significant improvement in the satisfaction level of negotiation results.