Christos Georgousopoulos

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An approach for dynamic load balancing of mobile agents is described. We demonstrate this approach for a multi-agent system operating on an active digital library composed of multi-spectral images of the Earth, as part of the Synthetic Aperture Radar Atlas (SARA)[25]. In the proposed architecture specialized stationary agents are used to gather system state(More)
Governments are striving to deliver more efficient and effective public services in order to achieve better public service quality, with reduced waiting times, improved cost effectiveness, higher productivity and more transparency. It’s an issue of doing things in new ways that requires fundamental change in the provision of public services in the future(More)
A system that conforms to FIPA specifications (standards) is a FIPAcompliant system, and can interoperate with any other heterogeneous systems which are FIPA-compliant also. The conversion of a Multi-Agent System (MAS) into a FIPA-compliant system (i.e. one that adheres to FIPA standards), is important to support interoperability across different MAS. A(More)
An agent-based architecture of an active Digital Library (DL) is first described, to illustrate how electronic service provision can be supported through the use of agents. The use of mobile agents is presented as a key enabler for allowing services to be combined from a variety of providers. Load balancing approaches are then used to illustrate how(More)
The conversion of a MAS into a FIPA-compliant system (i.e. one that adheres to FIPA standards), is important to support interoperability across different MAS. Supporting such a conversion will also allow system developers to make more effective use of their existing systems. Such a conversion imposes amendments on the system architecture to conform to the(More)
The key test for confidence in any association discovered within the medical domain is replication testing. That is, the ability of the association to be detected in independent populations. At the same time, in order to increase the likelihood of discovering statistically significant associations there is a clear need to increase the statistical power of(More)