Agent-based intelligent collaborative care management

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Agent-based intelligent collaborative care management

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International Conference on Autonomous Agents archive
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 table of contents

Budapest, Hungary

DEMONSTRATION SESSION: Academic demos table of contents

Pages 1387-1388

Year of Publication: 2009

ISBN:978-0-9817381-7-8

Authors

Kumari Wickramasinghe	Monash University, Melbourne, Australia
Christian Guttmann	Monash University, Melbourne, Australia
Michael Georgeff	Monash University, Melbourne, Australia
Hamid Gharib	BT Research, Adastral Park, Ipswich, UK
Ian Thomas	Monash University, Melbourne, Australia
Simon Thompson	BT Research, Adastral Park, Ipswich, UK
Heinz Schmidt	RMIT University, Melbourne, Australia

Sponsors

: The Foundation for Intelligent Physical Agents
Microsoft Research : Microsoft Research
: Whitestein Technologies
: European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory
: Drexel University
: Wiley -- Blackwell Ltd

Publisher

International Foundation for Autonomous Agents and Multiagent Systems Richland, SC

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ABSTRACT

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.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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	3	C. Guttmann, M. Georgeff, and I. Rahwan, Collective iterative allocation: Enabling fast and optimal group decision making. International Journal of Web Intelligence and Agent Systems. to appear in 2010.