JAM: a BDI-theoretic mobile agent architecture
Proceedings of the third annual conference on Autonomous Agents
External attribution of intentional notions to explain and predict agent behaviour
Proceedings of the fifth international conference on Autonomous agents
A mobile agent-based active network architecture for intelligent network control
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent multimedia computing and networking
Hierarchical network management: a scalable and dynamic mobile agent-based approach
Computer Networks: The International Journal of Computer and Telecommunications Networking
IEEE Internet Computing
A Survey of Concurrent METATEM - the Language and its Applications
ICTL '94 Proceedings of the First International Conference on Temporal Logic
A Formal Specification of dMARS
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Optimal distribution of a hierarchy of network management agents
Information Sciences—Informatics and Computer Science: An International Journal
Modeling and specifications of dynamic agents in fractal manufacturing systems
Computers in Industry
Applications of agent technology in communications: a review
Computer Communications
Hi-index | 0.01 |
Management software is required to be adaptive and scalable since the managed objects become more and more dynamic and complex. In this paper, we introduce cognitive concepts to deal with the complexity in developing management software, and an interactive intelligent agency framework, called iSMAcy (intelligent System Management Agency), is developed as an integrated solution to realize adaptive system management. The cognitive concepts are applied at two levels. At micro level, the intentional agent kernel of functional agent use mental states such as beliefs, goals and intentions to realize integration of goal-directed behavior with situated reactive action. At macro level, high-level cognitive semantics such as goals, requests and commitments are interchanged among agents. An example of applying iSMAcy system on a simulated network management environment is described, and the efficiency of the intentional agent kernel is analyzed to ensure the reactivity of iSMAcy system.