?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Quasi-monotonic+segmentation+of+state+variable+behavior+for+reactive+control&rft.creator=Fitzgerald%2C+Will&rft.creator=Lemire%2C+Daniel&rft.creator=Brooks%2C+Martin&rft.subject=Artificial+Intelligence&rft.description=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%2C+other+predicates%2C+sometimes+called+episodic+predicates%2C+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%2C+quasi-decreasing%2C+or+quasi-flat.+While+being+scale-based%2C+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.&rft.date=2005&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F4496%2F1%2Fepisode_web.pdf&rft.identifier=++Fitzgerald%2C+Will+and+Lemire%2C+Daniel+and+Brooks%2C+Martin++(2005)+Quasi-monotonic+segmentation+of+state+variable+behavior+for+reactive+control.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F4496%2F