How Can an Agent Learn to Negotiate?
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Detecting Unsuccessful Automated Negotiation Threads When Opponents Employ Hybrid Strategies
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Socio-cultural modelling of the student as the main actor of a virtual learning environment
MMACTEE'06 Proceedings of the 8th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
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Software agents could help buyers and sellers to combat information overload and expedite specific stages of the online buying process. On the other hand, in a multi-agent system such as an agent-mediated electronic commerce, it is desirable that the agents try to adapt to the environment by learning or by an evolutionary process, thus doing an anticipation of the interaction with the other agents. The paper presents a shopping agent architecture, SmartAgent, whose role is to assist users when doing electronic shopping, in the Internet. The agent has a learning capability implemented by a feed-forward artificial neural network that allows him to model the other agent's negotiation strategy, thus doing an adaptive negotiation in order to make a better deal.