• Title/Summary/Keyword: Procedural Contents Generation

Search Result 6, Processing Time 0.023 seconds

Players Adaptive Monster Generation Technique Using Genetic Algorithm (유전 알고리즘을 이용한 플레이어 적응형 몬스터 생성 기법)

  • Kim, Ji-Min;Kim, Sun-Jeong;Hong, Seokmin
    • Journal of Internet Computing and Services
    • /
    • v.18 no.2
    • /
    • pp.43-51
    • /
    • 2017
  • As the game industry is blooming, the generation of contents is far behind the consumption of contents. With this reason, it is necessary to afford the game contents considering level of game player's skill. In order to effectively solve this problem, Procedural Content Generation(PCG) using Artificial Intelligence(AI) is one of the plausible options. This paper proposes the procedural method to generate various monsters considering level of player's skill using genetic algorithm. One gene consists of the properties of a monster and one genome consists of genes for various monsters. A generated monster is evaluated by battle simulation with a player and then goes through selection and crossover steps. Using our proposed scheme, players adaptive monsters are generated procedurally based on genetic algorithm and the variety of monsters which are generated with different number of genome is compared.

Create 3-Dimension Game World used Procedural Generation Algorithm (절차적 생성 알고리즘을 이용한 3차원 게임월드 제작)

  • Ko, Jung-Woon;Kyung, Byung-Pyo;Ryu, Seuc-Ho;Lee, Dong-Lyeor;Lee, Wan-Bok;Lee, Dong-Yeop
    • Journal of Industrial Convergence
    • /
    • v.16 no.1
    • /
    • pp.35-40
    • /
    • 2018
  • The procedural generation algorithm is an algorithm that automatically generates a content to be used in a game by repeatedly executing a series of rules. As the size of the game increases, the amount of content used in the game increases. Accordingly, artificial intelligence research is actively conducted to automatically generate game contents using game artificial intelligence such as procedural generation. In this paper, we propose an algorithm to create 3D game world using procedural generation. The proposed algorithm generates a two-dimensional contour in which the path is naturally connected using Perlin-Noise whose noise is gradually changed. A three-dimensional Height-Map is created based on the generated two-dimensional contour lines. The generated Height-Map show that the shape of the map is normal and that the player is able to move around all the sections as in the game world created by hand. In the future, we will improve the performance of algorithms and apply them to game.

Automatic Map Generation without an Isolated Cave Using Cell Automata Enhanced by Binary Space Partitioning (이진 공간 분할로 보강된 셀 오토마타를 이용한 고립 동굴 없는 맵 자동 생성)

  • Kim, Ji-Min;Oh, Pyeong;Kim, Sun-Jeong;Hong, Seokmin
    • Journal of Korea Game Society
    • /
    • v.16 no.6
    • /
    • pp.59-68
    • /
    • 2016
  • Many researchers have paid attention to contents generation within the area of game artificial intelligence these days with various reasons. Efforts on automatic contents generation without game level designers' help were continuously progressed in various game contents. This study suggests an automatic map generation without an isolated cave using cellular automation enhanced by binary space partitioning(BSP). In other words, BSP makes it possible to specify the number of desired area and cellular automation reduces the time to search a path. Based upon our preliminary simulation results, we show the usefulness of our automatic map generation by applying the contents generation using cell automation, which is enhanced by BSP to games.

2D Game Image Color Synthesis System Using Convolutional Neural Network (컨볼루션 인공신경망을 이용한 2차원 게임 이미지 색상 합성 시스템)

  • Hong, Seung Jin;Kang, Shin Jin;Cho, Sung Hyun
    • Journal of Korea Game Society
    • /
    • v.18 no.2
    • /
    • pp.89-98
    • /
    • 2018
  • The recent Neural Network technique has shown good performance in content generation such as image generation in addition to the conventional classification problem and clustering problem solving. In this study, we propose an image generation method using artificial neural network as a next generation content creation technique. The proposed artificial neural network model receives two images and combines them into a new image by taking color from one image and shape from the other image. This model is made up of Convolutional Neural Network, which has two encoders for extracting color and shape from images, and a decoder for taking all the values of each encoder and generating a combination image. The result of this work can be applied to various 2D image generation and modification works in game development process at low cost.

Organic Philosophy Background of Biomorphic Architecture (바이오모픽 건축의 유기체 철학 배경에 관한 연구)

  • Kim, Jung-Shin
    • The Journal of the Korea Contents Association
    • /
    • v.14 no.5
    • /
    • pp.436-443
    • /
    • 2014
  • This study was begun on the premise that architecture which has the definite disposition for survival even in the urban, social structure of that uncertainty and constructs specialty is biomorphic architecture. This study was organic philosophy background analysis of Biomorphic architecture occurrence, through meaning inherent analysis in Biomorphic architecture, which going to be deployed atypical and new shape one. Biomorphic architecture is organism shape of structure of autonomous survival, which is shaped the potential of biological phenomena. Theoretical analysis of the Biomorhpic architecture characteristic was analysed. Factor in the occurrence of Biomorphic architecture based on an objective analysis of the research is characteristic analysis. Which is reason as the 'create', the science of complexity and emergent System. The generation causes of biomorphic architecture are an organic philosophy. Biomorphic architecture makes the realization of simile form using the procedural principle represented by in natural phenomena.

A Study on Aspect of Genre Differentiation in Digital Games - Focused on 'Roguelike' and 'Metroidvania' (디지털 게임의 하위 장르 분화 양상 연구 - 로그라이크, 메트로배니아를 중심으로-)

  • Ahn, Jin Kyoung
    • Journal of the Korean Society for Computer Game
    • /
    • v.31 no.4
    • /
    • pp.51-59
    • /
    • 2018
  • The purpose of this study is to analyze genre differentiation in digital games and examine the changing characteristics of core genre elements. Especially this study focuses on the aspect that how players recognize genre differentiation based on the conceptual blending theory. The evolution of the genre does not end with decline or extinction. The genre keeps being divided into sub-genres through partial use of genre elements. The differentiation of the genre results from the principle of frame confrontation or expansion with a parent genre. Rogue-like games are differentiated from Role-playing games by frame conflict, while Metroidvania games are differentiated from Platform adventure games by frame expansion. In the former case, the core genre elements are independent and easily combined with other genres. For example, the core mechanism of Rogue-like genre like 'perma-death' or 'procedural generation' has a decisive effect on the differentiation of the game experience become an independent genre element. In the latter case of Metroidvania, the core genre elements strongly reveals context dependency and are difficult to use outside the genre convention. The core mechanism of Metroidvania is 'backtracking' in the labyrinth style map, but it could be effective genre element within the specific context like side-scrolling action-platformer.