Sökning: "information exploration"
Visar resultat 21 - 25 av 467 avhandlingar innehållade orden information exploration.
21. Design Space Exploration : co-operative creation of proposals for desired interactions with future artefacts
Sammanfattning : This thesis critically reflects on co-operative design workshops that I have conducted. The basic method used in these workshops draws on the participants’ embodied knowing. LÄS MER
22. Theory Exploration for Programs and Proofs
Sammanfattning : We have built two theory exploration systems, Cohipster and RoughSpec . Theory exploration is a method of automatically conjecturing properties about the functions and structures that appear in a computer program or a formalization of a mathematical theory. LÄS MER
23. Temporality in the Interaction Design of Information Systems
Sammanfattning : ABSTRACTThis thesis contributes with two tools that can be used by designers and researchers in exploring how to address time in the design of crisis response and management information systems. By crisis management information system is here meant information systems used by local and regional authorities when responding to events that may disturb important societal functions, such as: floods, storms, terror attacks, and spreading of infectious diseases. LÄS MER
24. Perceiving agents : Pluralism, interaction, and existence
Sammanfattning : Perception is a vast subject to study. One way to approach and study it might therefore be to break down the concept into smaller pieces. Specific modes of sensation, mechanisms, phenomena, or contexts might be selected as the proxy or starting point for addressing perception as a whole. LÄS MER
25. Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems : Improving the efficiency of time-constrained optimization
Sammanfattning : In preference-based Evolutionary Multi-objective Optimization (EMO), the decision maker is looking for a diverse, but locally focused non-dominated front in a preferred area of the objective space, as close as possible to the true Pareto-front. Since solutions found outside the area of interest are considered less important or even irrelevant, the optimization can focus its efforts on the preferred area and find the solutions that the decision maker is looking for more quickly, i. LÄS MER