한국게임학회 논문지 (Journal of Korea Game Society)

  • 제15권5호
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  • Pages.89-98
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  • 2015
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  • 1598-4540(pISSN)
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  • 2287-8211(eISSN)
한국게임학회 (Korea Game Society)
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고스트들의 협력전술에 의한 팩맨게임 난이도 제고

Making Levels More Challenging with a Cooperative Strategy of Ghosts in Pac-Man

  • Choi, Taeyeong (School of Computer Science and Engineering, Soongsil University) ;
  • Na, Hyeon-Suk (School of Computer Science and Engineering, Soongsil University)
  • 투고 : 2015.07.28
  • 심사 : 2015.09.10
  • 발행 : 2015.10.20
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초록

NPC, 특히 적 캐릭터들의 인공지능은 게임의 설계 단계에 있어 난이도를 조절하기 위해 핵심적인 요소이다. 지능적인 적들은 게임을 보다 도전적으로 만들 뿐 아니라, 동일한 게임 환경에서도 유저들에게 다양한 경험을 제공할 수 있다. 오늘날 대부분의 게임 유저들은 다수의 적들과 상호작용을 하기 때문에, 적 캐릭터들의 협업을 제어하는 것은 이전 어느 때보다 그 중요성이 크다고 할 수 있다. 본 연구는 팩맨 게임의 적 인공지능에 구현될 수 있는 A* 알고리즘 기반의 협력전술을 제안한다. 17명의 피실험자로부터 얻은 설문 결과는 제안된 협력전술을 따르는 적으로 구성된 레벨이, 기존 팩맨게임에서의 적들 또는 비협력적인 적들로 구성된 레벨들보다 더 어렵고 흥미로웠음을 보여준다.

The artificial intelligence (AI) of Non-Player Companions (NPC), especially opponents, is a key element to adjust the level of games in game design. Smart opponents can make games more challenging as well as allow players for diverse experiences, even in the same game environment. Since game users interact with more than one opponent in most of today's games, collaboration control of opponent characters becomes more important than ever before. In this paper, we introduce a cooperative strategy based on the A* algorithm for enemies' AI in the Pac-Man game. A survey from 17 human testers shows that the levels with our collaborative opponents are more difficult but interesting than those with either the original Pac-Man's personalities or the non-cooperative greedy opponents.

키워드

참고문헌

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