Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Software agents
Bayesian learning in negotiation
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
JXTA: Java P2P Programming
MAgNET: Mobile Agents for Networked Electronic Trading
IEEE Transactions on Knowledge and Data Engineering
IEEE Internet Computing
Mobile Agents: Motivations and State-of-the-Art Systems
Mobile Agents: Motivations and State-of-the-Art Systems
Human-Centered Processes: Individual and Distributed Decision Support
IEEE Intelligent Systems
Negotiation Modeling and E-Shopping Agents
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
The research and implementation of customised launcher in Android
International Journal of Wireless and Mobile Computing
Hi-index | 0.01 |
This paper proposes a mobile intelligent negotiation agent embedded and hybrid architecture based online purchasing system (MineAgeHops in short) with three emphases: agent mobility, intelligent negotiation, and hybrid architecture. Like in the physical world, a buyer agent can travel over the internet to a remote e-shop for obtaining information about a product and negotiating on the product with a seller. Human negotiation is a complex process. The evolutionary negotiation model makes an effort to reflect different negotiation levels of human with increasing knowledge and experience as time goes. A hybrid of centralised and decentralised architecture can overcome the network bottleneck problem as well as improve purchasing efficiency by enabling agent mobility and flexibility.