ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
Computers and Industrial Engineering
An Agent System Architecture for E-Commerce
DEXA '01 Proceedings of the 12th International Workshop on Database and Expert Systems Applications
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Principles of Trust for MAS: Cognitive Anatomy, Social Importance, and Quantification
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Optimal agendas for multi-issue negotiation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
An agent architecture for multi-attribute negotiation using incomplete preference information
Autonomous Agents and Multi-Agent Systems
Bargaining strategy formulation with CRM for an e-commerce agent
Electronic Commerce Research and Applications
Intelligent profitable customers segmentation system based on business intelligence tools
Expert Systems with Applications: An International Journal
A brokering protocol for agent-based e-commerce
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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The Multi Agent System MAS model has been extensively used in different e-commerce tasks. Customer orientation is a crucial component of organizational culture and attention to information about customers' needs should be considered a firm's most basic value. In this paper, the authors evaluate a seller agent's various cognitive parameters, such as capability, trust, and desire. The authors also examine customer orientation value for a pair of buyer and seller agents, such as selecting a seller and buyer agent pair using mental and cognitive parameters, customer orientation value for their mutual benefits, and the competitive negotiation factor. The authors provide a deterministic customer orientation computational model, a competitive negotiation computational model between buyer agent and seller agent, and a logical computational model for selection of the best buyer-seller agent pair. With the help of GUI intermediate, final results are shown.