• Title/Summary/Keyword: 엄폐물 시스템

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A Proposal of Level Design Guidelines through Attribute Analysis of Cover Pattern on FPS Game by Theme (테마별 FPS게임의 엄폐물 패턴 속성분석을 통한 레벨 디자인 가이드라인 제안)

  • Cheon, Yu-Chan;Kim, Mi-Jin
    • Journal of Korea Game Society
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    • v.12 no.5
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    • pp.35-42
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    • 2012
  • Main focus of FPS game's play is securing vantage points in space based on specific theme and removing enemies. It could be more directly interacted with players' game space than other genres. This paper analyzes design patterns on FPS game of nine types consisted of three themes : past war, modern war, near future war, which is based on 10 different patterns of near future theme-oriented by Hullett and Whitehead. As an outcome, an important function of 'element of cover' was found additionally as a main pattern besides the 10 different patterns. And by analyzing its attributes, it is suggested the efficient way to use the 'cover' pattern for level-design. This result can be utilized as an empirical guideline for level-design of FPS games by theme.

Realtime Strategy Generation System using Case-based Reasoning (사례기반 추론을 이용한 실시간 전술 생성 시스템 설계)

  • Park, Jong-An;Hong, Chul-Eui;Kim, Won-Il
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.5
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    • pp.49-54
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    • 2011
  • Case-based reasoning is an efficient method to find solutions for new problems by using past cases after appropriate changes. It is widely used in everyday life because it resembles the way human acts. In this paper, we propose a military system that generates the most appropriate tactics for CGF (Computer Generated Forces) by utilizing past practices. It indeed applies case-based reasoning at the process of armed conflict. When the CGF squad on a mission, they will be given an action plan to reach the final goal. In the process of executing, tactics for specific action should be organized such as attacks, ambushes, and tactical moves. By using the proposed method, tactics were generated by case-based reasoning. The proposed system successfully receives input through each command and control agent, measures the degree of similarity with the case in case DB, selects the most similar case, modifies, uses, and then stores it for next time.