The Michigan Internet AuctionBot: a configurable auction server for human and software agents
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Bayesian learning in negotiation
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
Learning an Agent's Utility Function by Observing Behavior
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
A Real-Life Experiment in Creating an Agent Marketplace
Software Agents and Soft Computing: Towards Enhancing Machine Intelligence, Concepts and Applications
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
Agent-Mediated Integrative Negotiation for Retail Electronic Commerce
AMET '98 Selected Papers from the First International Workshop on Agent Mediated Electronic Trading on Agent Mediated Electronic Commerce
On Agent-Mediated Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
Optimal agendas for multi-issue negotiation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
An agenda-based framework for multi-issue negotiation
Artificial Intelligence
Motivation-Based Selection of Negotiation Partners
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Risk profile and consumer shopping behavior in electronic and traditional channels
Decision Support Systems
Predicting partner's behaviour in agent negotiation
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Predicting people's bidding behavior in negotiation
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Towards a test‐bed for trading agents in electronic auction markets
AI Communications
Market-driven agents with uncertain and dynamic outside options
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Predictability & criticality metrics for coordination in complex environments
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Opponent modelling in automated multi-issue negotiation using Bayesian learning
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Neural networks against genetic algorithms for negotiating agent behaviour prediction
Web Intelligence and Agent Systems
Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learning
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
An analysis of feasible solutions for multi-issue negotiation involving nonlinear utility functions
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Predicting partners' behaviors in negotiation by using regression analysis
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
On possibilistic case-based reasoning for selecting partners in multi-agent negotiation
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Agents that react to changing market situations
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Equilibria, prudent Compromises,and the "Waiting" game
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Electronic Commerce has been a very significant commercial phenomenon in recent years, and autonomous agents are widely adopted by business or individuals in electronic marketplaces to fulfill time consuming tasks in trading. Agent negotiation mechanisms are usually applied between conflicted agents in order to reach a mutually beneficial agreement. Prediction of trading agents' strategies and behaviours in negotiation is a very significant research topic in agent negotiation. By employing the prediction results on opponents' possible strategies and behaviours during a negotiation, trading agents can plan and perform corresponding strategies in order to maximize their own profits. Significant achievements have been made on this topic. However, most existing approaches are based on machine learning mechanisms, which may fail to capture opponents' behaviours in open and dynamic electronic marketplaces. In this paper, two agent behaviour expectation approaches are introduced to help trading agents to capture opponents' potential behaviours during a negotiation in complex e-marketplaces. i The regression analysis approach focuses on illustrating the main trends of opponents' trading behaviours; ii the vector analysis approach pays more attention to identifying opponents' detailed negotiation strategies. The experimental results show the efficiency and efficacy of the two proposed approaches in open and dynamic negotiation environments.