Search the repository

A+ | A- | | SLO | ENG

Abstract: Dream research is entering a new era of accelerating insights and discoveries, thanks to the rise of powerful digital analysis tools that are enabling important advances in the empirical study of dreams. This paper illustrates the use of these tools, drawing on the resources of the Sleep and Dream Database, a free online archive of information about sleep and dreaming. These tools include statistical analyses of survey responses, systematic word searches of large collections of dream reports, and a well-grounded set of baseline frequencies to help with comparative measurement. The goal of this paper is to provide readers with an initial orienta-tion to the new world of dream discovery that has opened up because of tools like these. Several basic empirical findings are presented regarding clearly observable patterns of perception, emotion, and social interaction in dreaming. The paper will close with reflections on the emerging interplay of dreaming and technology.
Keywords: dreams, word searching, content analysis, continuity hypothesis
Published in DiRROS: 13.05.2024; Views: 35; Downloads: 15
Full text (336,61 KB)
This document has many files! More...

Abstract: The term Procedural Content Generation (PCG) refers to the (semi-)automatic generation of game content by algorithmic means, and its methods are becoming increasingly popular in game-oriented research and industry. A special class of these methods, which is commonly known as search-based PCG, treats the given task as an optimisation problem. Such problems are predominantly tackled by evolutionary algorithms. We will demonstrate in this paper that obtaining more information about the defined optimisation problem can substantially improve our understanding of how to approach the generation of content. To do so, we present and discuss three efficient analysis tools, namely diagonal walks, the estimation of high-level properties, as well as problem similarity measures. We discuss the purpose of each of the considered methods in the context of PCG and provide guidelines for the interpretation of the results received. This way we aim to provide methods for the comparison of PCG approaches and eventually, increase the quality and practicality of generated content in industry.
Keywords: optimization, search-based procedural content generation, exploratory landscape analysis, Mario level generation
Published in DiRROS: 24.02.2023; Views: 450; Downloads: 184
Full text (745,09 KB)