By Topic

An Ambient Intelligent Agent Model Using Controlled Model-Based Reasoning to Determine Causes and Remedies for Monitored Problems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Duell, R. ; Force Vision Lab., Amsterdam ; Hoogendoorn, M. ; Klein, M. ; Treur, J.

This paper addresses the design of an ambient agent model that incorporates model-based reasoning methods for the analysis of internal causes of observed undesired behaviours of a human, and for determination of actions that remedy such causes. The models used are based on causal and dynamical relations and integrate numerical aspects. By the model-based reasoning methods hypotheses, observations and actions are generated. Control parameters within these processes are described that allow the ambient agent to focus the reasoning. These control parameters are related to each other and to specific domain and situation characteristics, such as time pressure, or criticality of a situation.

Published in:

Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on  (Volume:3 )

Date of Conference:

9-12 Dec. 2008