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
Agent Mediated Electronic Commerce, The European AgentLink Perspective.
D'Agents: Security in a Multiple-Language, Mobile-Agent System
Mobile Agents and Security
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
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This paper proposes a mobile negotiation agentembedded hybrid online purchasing system(MineAgeHops in short) with three emphases: agent'smobility, evolvable negotiation model, and hybridarchitecture. As in the physical world, a buyer agent cantravel to a virtual shop resided in a remote host forobtaining information about a product and directlynegotiating on the product with a seller in the virtual shop.Human negotiation is a complex process. The evolvablenegotiation model makes effort to reflect differentnegotiation levels with increasing knowledge andexperience as time goes. A hybrid of centralized anddecentralized architecture can overcome networkbottleneck problem as well as improve purchasingefficiency by enabling agents' mobility and flexibility.