Adaptive negotiation agents for e-business
ICEC '05 Proceedings of the 7th international conference on Electronic commerce
Towards a web services and intelligent agents-based negotiation system for B2B eCommerce
Electronic Commerce Research and Applications
NegoExplorer: A Region-Based Recursive Approach to Bilateral Multi-attribute Negotiation
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
Improving trade-offs in automated bilateral negotiations for expressive and inexpressive scenarios
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Knowledge integration and management in autonomous systems
Strategies for offer generation and relaxation in fuzzy constraint-based negotiation models
Multiagent and Grid Systems - Advances in Agent-mediated Automated Negotiations
Autonomous Agents and Multi-Agent Systems
The design and implementation of an intelligent agent-based adaptive bargaining model (ABM)
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
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Real-world negotiations are characterised by combinatorially complex negotiation spaces, tough deadlines, bounded agent rationality, very limited information about the opponents, and volatile negotiator preferences. Classical negotiation models fail to address most of these issues. This paper illustrates our practical negotiation agents which are empowered by an effective and efficient genetic algorithm to deal with complex, incomplete, and dynamic negotiation spaces arising in real-world applications. Initial experiment demonstrates that our genetically optimised adaptive negotiation agents outperform a theoretically optimal negotiation model when time pressure exists. Our research work opens the door to the development of responsive and adaptive negotiation agents for real-world applications.