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This paper discusses adaptation policies for information systems that are subject to dynamic and stochastic contexts such as mobile access to multimedia web sites. In the authors' approach, adaptation agents apply sequential decisional policies under uncertainty. They focus on the modeling of such decisional processes depending on whether the context is fully or partially observable. Their case study is a movie browsing service in a mobile environment that they model by using Markov Decision Processes (MDPs) and Partially Observable MDP (POMDP).
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