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Strong Cyclic Planning aims at generating iterative plans that only allow loops so far as there is a chance to reach the goal. The problem is already significantly complex for fully observable domains; when considering partially observable domains, even providing a formal definition is far from straightforward. In this work, we provide a formal definition of Strong Cyclic Planning under Partial...

The basic assumption in data envelopment analysis patterns (DEA) (such as the CCR andBCC models) is that the value of data related to the inputs and outputs is a precise andpositive number, but most of the time in real conditions of business, determining precisenumerical value is not possible in for some inputs or outputs. For this purpose, differentmodels have been proposed in DEA for imprecis...

The present study examined cognitive content-specificity in future-event predictions associated with symptoms of depression and generalized anxiety disorder (GAD). College undergraduates (N=284) completed measures of depression, GAD, and rated their certainty that a given set of positive and negative outcomes were or were not likely to happen in their future. Participants also completed measure...

We use matched employee-employer data from Britain to assess the influence of disabilityspecific workplace policies and practices on the earnings of disabled workers. The presence of equal opportunities policies increases the relative wages of disabled workers, but this is partially offset by the negative influence of workplace accommodations. JEL Classification: J30, J14

Predictive maintenance is based on observing an indicator of the state of a system, at different intervals of time which gives the decision maker some information about the exact state. The problem is to obtain an optimal replacement policy minimizing the long run expected cost per unit of time and to formulate it as a partially observable Markov decision process.

The process of understanding the meaning of a written passage inherently involves dynamic manipulation and composition of ideas. Starting from this observation this thesis proposes an artificial system for text understanding in which the semantic space containing the possible meanings of the analyzed text is selectively explored by a partially observable Markov decision process trained to effec...