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
Distributed rational decision making
Multiagent systems
Computers and Industrial Engineering
Agent-based e-marketplace system for more fair and efficient transaction
Decision Support Systems - Special issue: Agents and e-commerce business models
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
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Multi agent system MAS model has been extensively used in the different tasks of E-Commerce such as customer relation management CRM, negotiation and brokering. The objective of this paper is to evaluate a seller agent's various cognitive parameters like capability, trust, and desire. After selecting a best seller agent from ordering queue, it applies negotiation strategies to find the most profitable proposal for both buyer and seller. This mechanism belongs to a semi cooperative negotiation type, and selecting a seller and buyer agent pair using mental and cognitive parameters. This work provides a logical cognitive model, logical negotiation model between buyer agent and selected seller agent.