]>
The repository administrator has not yet configured an RDF license.
episode_web.pdf
preview.png
indexcodes.txt
text/html
HTML Summary of #4496
Quasi-monotonic segmentation of state variable behavior for reactive control
Quasi-monotonic segmentation of state variable behavior for reactive control (PDF)
Quasi-monotonic segmentation of state variable behavior for reactive control (Image (PNG))
Quasi-monotonic segmentation of state variable behavior for reactive control (Indexer Terms)
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.
2005
Quasi-monotonic segmentation of state variable behavior for reactive control
Artificial Intelligence
Lemire
Daniel
Daniel Lemire
Fitzgerald
Will
Will Fitzgerald
Brooks
Martin
Martin Brooks