Intelligent Agent Modeling and Generic Architecture Towards a Multi-Agent Healthcare Knowledge Management System

Intelligent agents are a powerful technology with many significant applications and are starting to assume more responsible in more critical tasks. One of the most important uses of agent technology is for problem–solving coordination. Coordination has been defined as managing the interdependencies between activities, ordering and locating actions in time in an attempt to maximize a possibly changing set of decision criteria. Coordination activities include not only localized agent interaction over specific problems, but also longer term organizations that can support current and future problem solving. That is why to deploy intelligent agents in a multi-agent system in an effective manner, so that agents could achieve their objectives and could initiate collaboration and coordination with each other, there is a need to develop a generic agent architecture to build agents of different nature for a multi-agent system. Therefore, to come up with a state of the art solution for this issue, in this paper, we present: (i) Agent modeling (ii) Intelligent agent generic architecture and (iii) Healthcare Knowledge Management system (HKMS) implementation based on a multi-agent architectural framework to examine the efficacy of multi-agent systems in the healthcare domain.