Please use this identifier to cite or link to this item: http://prr.hec.gov.pk/jspui/handle/123456789/15538
Title: Procedural Content Generation for General Video Game Level Generation
Authors: Zafar, Adeel
Keywords: Physical Sciences
Computer Science
Issue Date: 2020
Publisher: National University of Computer and Emerging Sciences Islamabad
Abstract: With the passage of time, video games are becoming more complex, and their development incurs greater time and cost. The creation of video gaming content such as levels, maps, textures and so on represent a large part of the overall cost of game development. Procedural Content Generation (PCG) is a method of generating content via a pseudo-random process. PCG can be beneficial to lower the total game production cost, it can add creativity to the games and games can possess infinite replayability. Level generation has been the most significant and oldest problem in the PCG domain. The majority of the PCG level generators are specific to a particular game, content is generated only for a suited single type and these generators are evaluated mostly by computational metrics, user studies and fitness functions. Considering, the grand goal of general Artificial Intelligence, it would be beneficial to sculpt solutions that are applicable to a general set of problems. For the level generation problem, this can be achieved by constructing a level generator that generates levels for a set of games and not explicitly for a single game. A very important step in this regard has been made by the General Video Game Level Generation (GVG-LG) platform. The GVG-LG platform is composed of three generators that generate levels for a particular set of games. I have created four different type of generators for the GVG-LG framework. The generators follow a distinct path and are able to solve multiple problems related to PCG including dynamic difficulty adjustment, creation of intelligent controllers, creating aesthetically appealing levels and using patterns as objectives for level generation. In addition, I evaluated all the generators using a variety of techniques. The experimental results show promising results and represent our attempt at general video game level generation.
Gov't Doc #: 20664
URI: http://prr.hec.gov.pk/jspui/handle/123456789/15538
Appears in Collections:PhD Thesis of All Public / Private Sector Universities / DAIs.

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