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Visar resultat 1 - 5 av 83 avhandlingar som matchar ovanstående sökkriterier.
1. Optimal strategies and information in foraging theory
Sammanfattning : In this thesis, I present both theoretical and empirical work where we have studied how humans and animals use information in situations where they need to continually update their information on the density of a resource. We have found that the amount of information, and the way the information is presented, are important factors for how well decisions are adapted to current circumstances. LÄS MER
2. Evaluating credal set theory as a belief framework in high-level information fusion for automated decision-making
Sammanfattning : High-level information fusion is a research field in which methods for achieving an overall understanding of the current situation in an environment of interest are studied. The ultimate goal of these methods is to provide effective decision-support for human or automated decision-making. LÄS MER
3. The Apparent Arbitrariness of Second-Order Probability Distributions
Sammanfattning : Adequate representation of imprecise probabilities is a crucial and non-trivial problem in decision analysis. Second-order probability distributions is the model for imprecise probabilities whose merits are discussed in this thesis. LÄS MER
4. Optimal Scheduling for Timely Information in Communication Systems
Sammanfattning : The explosive growth of data in information society poses significant challenges in the timely delivery of information in the context of communication networks. Hence, optimal utilization of scarce network resources is crucial. LÄS MER
5. Test Design for Finite Element Model Updating - Identifiable Parameters and Informative Test Data
Sammanfattning : It is important to predict structural phenomena, such as noise and fatigue, stemming from vibrations. To do this, reliable structural dynamic models are needed. To be useful the models have to compare well with reality in the validation against test data; if not, the models should be modified. LÄS MER