An agent-based architecture for managing the provision of community care - the INCA (Intelligent Community Alarm) experience

BEER, Martin, HILL, R., WEI HUANG, D. and SIXSMITH, A. (2003). An agent-based architecture for managing the provision of community care - the INCA (Intelligent Community Alarm) experience. AI communications, 16 (3), 179-192.

[img]
Preview
PDF
fulltext.pdf

Download (215kB) | Preview
Official URL: http://iospress.metapress.com/openurl.asp?genre=ar...

Abstract

Community Care is an area that requires extensive cooperation between independent agencies, each of which needs to meet its own objectives and targets. None are engaged solely in the delivery of community care, and need to integrate the service with their other responsibilities in a coherent and efficient manner. Agent technology provides the means by which effective cooperation can take place without compromising the essential security of both the client and the agencies involved as the appropriate set of responses can be generated through negotiation between the parties without the need for access to the main information repositories that would be necessary with conventional collaboration models. The autonomous nature of agents also means that a variety of agents can cooperate together with various local capabilities, so long as they conform to the relevant messaging requirements. This allows a variety of agents, with capabilities tailored to the carers to which they are attached to be developed so that cost-effective solutions can be provided.

Item Type: Article
Additional Information: Copyright IOS Press
Uncontrolled Keywords: Community care, Agent applications, Multi-agent systems
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Depositing User: Ann Betterton
Date Deposited: 27 Jun 2007
Last Modified: 20 Aug 2015 03:37
URI: http://shura.shu.ac.uk/id/eprint/42

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics