Technical Note: \cal Q-Learning
Machine Learning
Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
An Ontology Based Approach to Automated Negotiation
AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
The design and implementation of an intelligent agent-based negotiation shopping system
Multiagent and Grid Systems
Ontologies for supporting negotiation in e-commerce
Engineering Applications of Artificial Intelligence
Agent behaviour in double auction electronic market for communication resources
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
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This article describes an approach to automated negotiation that agents can use in any marketplace, regardless of the negotiation mechanism in use. Because it expresses negotiation mechanisms via shared ontologies rather than hard-coding in participating agents, this approach is particularly suitable for open and dynamic environments, such as the Internet, in which the choice of negotiation protocol is subject to change.The authors address the problem of determining which negotiation strategies to use for a given mechanism by introducing an expert system to reason about bidding strategies according to the negotiation mechanism's declarative description.