Fitzgerald, Lemire and Brooks (2005) Quasi-monotonic segmentation of state variable behavior for reactive control

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Quasi-monotonic segmentation of state variable behavior for reactive control

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CONTRIBUTORS:

	Author:	Fitzgerald, Will
	Author:	Lemire, Daniel (Université du Québec à Montréal (UQAM))
	Author:	Brooks, Martin

PROCEEDINGS TITLE:

AAAI05

YEAR:

2005

PUB TYPE:

Conference Paper in Proceedings

PAGES:

1 - 6

SUBJECT(S):

None

DISCIPLINE:

Computer Science

HTTP:

http://www.ondelette.com/lemire/abstracts/AAAI05.html

LANGUAGE:

English

PUB ID:

103-415-615 (Last edited on 2005/05/05 12:40:26 GMT-6)

SPONSOR(S):

ABSTRACT:
Real-world agents must react to changing conditions as they execute planned tasks. Conditions are typically monitored through time series representing state variables. While some predicates on these times series only consider one measure at a time, other predicates, sometimes called episodic predicates, consider sets of measures. We consider a special class of episodic predicates based on segmentation of the the measures into quasi-monotonic intervals where each interval is either quasi-increasing, quasi-decreasing, or quasi-flat. While being scale-based, this approach is also computational efficient and results can be computed exactly without need for approximation algorithms. Our approach is compared to linear spline and regression analysis.

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