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Procedural Content Generation in Games (PCG) is a thriv- ing field of research and application. Recent presented ex- amples range from levels, stories and race tracks to complete rulesets for games. However, there is not much research to date on procedural 3D modeling of caves, and similar en- closed natural spaces. In this paper, we present a modular pipeline to procedurally generate underground
Popular Abstract in SwedishEtt väl etablerat fynd inom personbedömningsforskning är att vi människor bedömer varandra på ett mer nyanserat sätt än enbart en endimensionell skala (bra-dålig). Istället använder vi oss av två grundläggande dimensioner för personbedömningar. Den första dimensionen (värme) ger oss svaret på andra människors avsikter (t.ex. vänligt eller fientligt inställda till oss). DIt is well established that we do not judge other people on a one-dimensional scale (i.e., good - bad), but rather based on two fundamental dimensions. The first dimension is warmth, which essentially answers the questions of what the other person’s intentions are (e.g., friendly or malicious). The second dimension is competence, which in contrast answers the question regarding the person’s capabi
The first step of aquifer parameter and dependent variable estimation based on hydraulic modeling is generally to choose the best steady-state conditions for the set time period. This situation will occur when the hydraulic head variation for observed wells is at minimum. Therefore, the hydraulic gradient should be constant and mean recharge zero over the study area during the simulation (Graham a
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