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Quasi-monotonic segmentation of state variable behavior for reactive control

Fitzgerald, Will and Lemire, Daniel and Brooks, Martin (2005) Quasi-monotonic segmentation of state variable behavior for reactive control. [Conference Paper]

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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.

Item Type:Conference Paper
Subjects:Computer Science > Artificial Intelligence
ID Code:4496
Deposited By:Lemire, Daniel
Deposited On:06 Aug 2005
Last Modified:11 Mar 2011 08:56

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