Generative communication in Linda
ACM Transactions on Programming Languages and Systems (TOPLAS)
Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Feature interactions in the global information infrastructure
SIGSOFT '95 Proceedings of the 3rd ACM SIGSOFT symposium on Foundations of software engineering
Feature Interactions in Telecommunications III
Feature Interactions in Telecommunications III
Feature Interactions in Telecommunications Networks IV
Feature Interactions in Telecommunications Networks IV
Feature Interactions in Telecommunications and Software Systems V
Feature Interactions in Telecommunications and Software Systems V
Feature Interactions in Telecommunications Systems
Feature Interactions in Telecommunications Systems
Towards A Role-Based Framework for DistributedSystems Management
Journal of Network and Systems Management
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Policy-Driven Personalized Multimedia Services for Mobile Users
IEEE Transactions on Mobile Computing
Building and Selecting Mobile Agents for Network Management
Journal of Network and Systems Management
An agent-based framework for sketched symbol interpretation
Journal of Visual Languages and Computing
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Most telecommunication service providers resolve the feature interaction problem by providing specific instructions in their management software to handle scenarios where feature interaction may occur. This approach suffers from the complexity of the resulting code and the difficulty of adding new features to the system. Moreover, the system predefines the result of the resolution of the conflicting features and the end user has no means of choosing a different behavior, depending on the preferences of the user. In this paper we propose an agent-based architecture to detect and resolve feature interactions. Our system benefits from the flexibility and the semantic richness of policies and fuzzy logic to allow the end user to alter the behavior of the system, thus obtaining a more personalized service.