Agent-based intelligent collaborative care management

The aim of our research is to provide a unified model for the composition and management of consumer care services. We identify design, composition, distribution and management as key stages of this model and propose an Intelligent Collaborative Care Management (ICCM) System as its realisation. The distribution and management stages are implemented as multi-agent systems. Agents in the distribution stage carry out domain-specific negotiation and distribution processes for the assignment of tasks in the care plan. Through the agents in the management stage, we introduce the notion of “failure prevention” and “adherence support” in contrast to “failure recovery” in planning. The key to failure prevention is to identify what has to be carried out to prevent care plan failures. The healthcare domain is used to demonstrate the ICCM system. Categories and Subject Descriptors I.2.11 [Computing Methodologies]: Artificial Intelligence— Multi-Agent Systems General Terms Distributi...

• Type: Conference
• Year: 2009
• Where: ATAL
• Authors: Kumari Wickramasinghe, Christian Guttmann, Michael P. Georgeff, Hamid Gharib, Ian E. Thomas, Simon G. Thompson, Heinz W. Schmidt
• Keywords: Artificial Intelligence, ATAL 2009, Failure Prevention, Management Stage, Multi-agent Systems