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2. Phytosociological description of the dwarf mountain pine shrub community (Amelanchiero ovalis-Pinetum mugo) in the valleys of the Slovenian AlpsIgor Dakskobler, Mateja Cojzer, Andrej Rozman, 2023, original scientific article Abstract: We have expanded our knowledge of the localities, sites and distribution of the Amelanchiero ovalis-Pinetum mugo association in the Slovenian Alps. Based on phytocenological analyses, the shrub association belonging to the forest vegetation type Alpine mountain pine scrub was divided into two subassociations: peucedanetosum oreoselini and hylocomiadelphetosum triquetri. We also described four variants within the latter association.
Keywords: phytosociology, synsystematics, Pinus mugo, Natura 2000, Triglav National Park, Topla Landscape Park, Slovenia
Published in DiRROS: 27.06.2023; Views: 1082; Downloads: 487
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3. Tools for landscape analysis of optimisation problems in Procedural Content Generation for gamesVanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tušar, 2023, original scientific article 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: 407; Downloads: 168
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