Comparing the Performance of MLP and RBF Neural Networks Employed by Negotiating Intelligent Agents
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
A review for mobile commerce research and applications
Decision Support Systems
Intelligent Decision Technologies
A multilateral negotiation method for software process modeling
ICSP'07 Proceedings of the 2007 international conference on Software process
An agent-based system for bilateral contracts of energy
Expert Systems with Applications: An International Journal
Multi-modal opponent behaviour prognosis in E-negotiations
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Goal-Directed automated negotiation for supporting mobile user coordination
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
The role of agents in intelligent mobile services
PRIMA'04 Proceedings of the 7th Pacific Rim international conference on Intelligent Agents and Multi-Agent Systems
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Mobile electronic commerce (m-commerce) is an emerging manifestation of Internet electronic commerce that bridges the domains of Internet, mobile computing and wireless telecommunications in order to provide an array of sophisticated services (m-services) to mobile users. To date, much of the research in the area has concentrated on the problem of service discovery. However, once a service has been discovered, it needs to be provisioned according to the goals and constraints of the service provider and the service consumer. Since, in general, these will be different stakeholders (with different aims), the de facto provisioning method will be some form of negotiation. To this end, this paper develops automated negotiation protocols and strategies that are applicable in m-commerce environments. Specifically, we develop and evaluate time-constrained bilateral negotiation algorithms, that allow software agents to adapt to the quality of the network and/or their experience of similar interactions.