Search for dissertations about: "causal modelling"
Showing result 1 - 5 of 36 swedish dissertations containing the words causal modelling.
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1. A Systems Tool for Prescriptive Policy Analysis : Labelled Causal Mapping Method for Policy-oriented Modelling, Simulation and Decision analysis
Abstract : The elicitation and processing of relevant information is the core of any policy decision-making process. Modelling is about making sense of the available information. Models are able to incorporate the contextual influences on policy making (e.g. READ MORE
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2. On Kinematic Modelling and Iterative Learning Control of Industrial Robots
Abstract : Good models of industrial robots are necessary in a variety of applications, such as mechanical design, performance simulation, control, diagnosis, supervision and offline programming. This motivates the need for good modelling tools. In the first part of this thesis the forward kinematic modelling of serial industrial robots is studied. READ MORE
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3. Developing Methods for Modelling Procedures in System Analysis and System Dynamics
Abstract : System Thinking is the mindset of defining and confining a problem and its symptoms as well as a method for communicating system understanding. System Analysis is taking that problem apart to understand its causalities and structural arrangement. READ MORE
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4. Probabilistic Sequence Models with Speech and Language Applications
Abstract : Series data, sequences of measured values, are ubiquitous. Whenever observations are made along a path in space or time, a data sequence results. To comprehend nature and shape it to our will, or to make informed decisions based on what we know, we need methods to make sense of such data. READ MORE
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5. System Expansion and Allocation in Life Cycle Assessment With Implications for Wastepaper Management
Abstract : The choice of system boundaries and allocation methods can have decisive effects on the results and conclusions of a life cycle assessment (LCA). System expansion makes it possible to model the indirect effects of a decision; however, this modelling is often based on inaccurate assumptions. READ MORE