A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Communication and cooperation in agent systems: a pragmatic theory
Communication and cooperation in agent systems: a pragmatic theory
Efficient mechanisms for the supply of services in multi-agent environments
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Exploiting learning techniques for the acquisition of user stereotypes and communities
UM '99 Proceedings of the seventh international conference on User modeling
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Acquiring User Preferences for Information Filtering in Interactive Multi-Media Services
PRICAI '96 Proceedings of the 4th Pacific Rim International Conference on Artificial Intelligence: Topics in Artificial Intelligence
How Can an Agent Learn to Negotiate?
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
ITERATE: a conceptual clustering algorithm for data mining
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Knowledge based approach to semantic composition of teams in an organization
Proceedings of the 2005 ACM symposium on Applied computing
Exploiting agents in e-learning and skills management context
AI Communications
Method fragments for agent design methodologies: from standardisation to research
International Journal of Agent-Oriented Software Engineering
Personalized e-learning: a goal oriented approach
DIWEB'07 Proceedings of the 7th WSEAS international conference on Distance learning and web engineering
Towards service-oriented recommendation functionalities within pervasive e-learning systems
International Journal of Business Intelligence and Data Mining
Advanced technology for E-learning development
CIS'09 Proceedings of the international conference on Computational and information science 2009
Automating competence management through non-standard reasoning
Engineering Applications of Artificial Intelligence
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Agent-based systems suitable for dealing with applications where the environment is both dynamic and populated with competitors demand for sophisticated characteristics including adaptation, negotiation and coordination. In this paper we propose an agent-mediated insurance brokering system using a flexible negotiation model that includes multi-attribute bidding as well as some kind of learning capabilities. Moreover, in the core of the provided brokering facility, we are using conceptual clustering procedures as an approach to better match customers and insurance product offers providing a valuable add-on to both customer's and sellers' sides. Intelligent agents engage themselves in a negotiation process by exchanging proposals and counter-proposals trying to convince opponents to modify their bidding values. We are now developing a Java based multi-agent infrastructure specifically dedicated to the insurance e-commerce domain, exploiting Toshiba's Bee-gent framework. For both acceptability and generalisation purposes, XML (including appropriate ontology-based messages) has been chosen as our agent communication format.