Communications of the ACM
Time-bound negotiation framework for electronic commerce agents
Decision Support Systems
A genetic agent-based negotiation system
Computer Networks: The International Journal of Computer and Telecommunications Networking
Towards a Generic Negotiation Model for Intentional Agents
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
On Agent-Mediated Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 2004 ACM symposium on Applied computing
Information Sciences—Informatics and Computer Science: An International Journal
An Automatic Negotiation Method Based on CBR and Agent Reasoning
CIT '05 Proceedings of the The Fifth International Conference on Computer and Information Technology
Intelligent agents for e-marketplace: negotiation with issue trade-offs by fuzzy inference systems
Decision Support Systems
A protocol for multi-agent negotiation in a group-choice decision making process
Journal of Network and Computer Applications
Towards a web services and intelligent agents-based negotiation system for B2B eCommerce
Electronic Commerce Research and Applications
Managing commitments in multiple concurrent negotiations
Electronic Commerce Research and Applications
Expert Systems with Applications: An International Journal
International Journal of Intelligent Engineering Informatics
Buyer behavior adaptation based on a fuzzy logic controller and prediction techniques
Fuzzy Sets and Systems
Supporting decision making process with "ideal" software agents - What do business executives want?
Expert Systems with Applications: An International Journal
An ontological intelligent agent platform to establish an ecological virtual enterprise
Expert Systems with Applications: An International Journal
Agent based mobile negotiation for personalized pricing of last minute theatre tickets
Expert Systems with Applications: An International Journal
The evaluation of intelligent agent performance - An example of B2C e-commerce negotiation
Computer Standards & Interfaces
The learning of an opponent's approximate preferences in bilateral automated negotiation
Journal of Theoretical and Applied Electronic Commerce Research
DESRIST'12 Proceedings of the 7th international conference on Design Science Research in Information Systems: advances in theory and practice
Computers & Mathematics with Applications
An ontology based approach to organize multi-agent assisted supply chain negotiations
Computers and Industrial Engineering
Electronic Commerce Research and Applications
Efficient communication architecture for the C2C agent
Computer Standards & Interfaces
An Economics-Driven Approach for Automated SLA Negotiation for Cloud Services Adoption: Aspoc2
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
Hi-index | 12.06 |
B2C e-commerce is becoming more widespread as more people come to recognize its convenience and its ability to rapidly respond to requests and as more products and services become available. However, many electronic marketplaces, especially in the business-to-consumer, are in essence some kind of search engine where buyers look for the best product in a database of products offered by sellers. Usually, such e-marketplaces do not use agent technology at all although agents could significantly improve the services provided both for the buyers and the sellers. Further, negotiation capabilities are essential for B2C e-commerce systems. In an automated negotiation, intelligent agents engage in broadly similar processes to achieve the same end. In more detail, the agents prepare bids for and evaluate offers on behalf of the parties they represent with the aim of obtaining the maximum benefit for their users. Nevertheless, in the current situation, price is the only criterion by which agents are created. This factor is easy to measure and automate. However, the criteria for advanced transactions need to be elaborated, for example, details of giveback and dividend. In this paper, we present a multiple-attributes negotiation model for B2C e-commerce, which deploys intelligent agents to facilitate autonomous and automatic on-line buying and selling by intelligent agents while quickly responding to consumers. These include a 4-phase model, information collection, search, negotiation, and evaluation. We also apply fuzzy theory and analytical hierarchy process to develop the system interface to facilitate the user inputs. Finally, an example of the notebook purchasing process is illustrated.