Communications of the ACM
Building consumer trust online
Communications of the ACM
Cooperative vs. Competitive Multi-Agent Negotiations in Retail Electronic Commerce
CIA '98 Proceedings of the Second International Workshop on Cooperative Information Agents II, Learning, Mobility and Electronic Commerce for Information Discovery on the Internet
On Agent-Mediated Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
An evolutionary learning approach for adaptive negotiation agents: Research Articles
International Journal of Intelligent Systems - Learning Approaches for Negotiation Agents and Automated Negotiation
Sharing Service Semantics using SOAP-Based and REST Web Services
IT Professional
Towards a web services and intelligent agents-based negotiation system for B2B eCommerce
Electronic Commerce Research and Applications
Reasoning about the behavior of Semantic Web services with concurrent transaction logic
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Using case-based reasoning for improving precision and recall in web services selection
International Journal of Web and Grid Services
A logical framework for modeling and reasoning about semantic web services contract
Proceedings of the 17th international conference on World Wide Web
Mining Trading Partners' Preferences for Efficient Multi-Issue Bargaining in E-Business
Journal of Management Information Systems
Efficient mobile reasoning for pervasive discovery
Proceedings of the 2009 ACM symposium on Applied Computing
Flexible negotiation agent with relaxed decision rules
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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With growing interest in Semantic Web services and emerging standards, such as OWL, WSMO, and SWSL in particular, the importance of applying logic-based models to develop core elements of the intelligent Semantic Web has been more closely examined. However, little research has been conducted in Semantic Web services on issues of non-mono-tonicity and uncertainty of Web services retrieval and selection. In this paper, the authors propose a non-monotonic modeling and uncertainty reasoning framework to address problems related to adaptive and personalized services retrieval and selection in the context of micro-payment processing of electronic commerce. As intelligent payment service agents are faced with uncertain and incomplete service information available on the Internet, non-monotonic modeling and reasoning provides a robust and powerful framework to enable agents to make service-related decisions quickly and effectively with reference to an electronic payment processing cycle.