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A Proposal on Game Engine Behavior Tree

게임 엔진 행동 트리 제안

  • Lee, Myoun-Jae (Division of Information Communication, BaekSeok University)
  • 이면재 (백석대학교 정보통신학부)
  • Received : 2016.06.28
  • Accepted : 2016.08.20
  • Published : 2016.08.28

Abstract

A behavior tree is to express the behavior of artificial intelligence. The behavior tree has a characteristic that is easy to change state transitions than FSM(Finite State Machine), see the progress of the action. For these reasons, the behavior tree is widely used in more than FSM. This paper is to analyze the advantages and disadvantages on behavior trees of game engines, proposes the improved behavior tree based on analyzed them. To achieve this, in this paper, first, examines the role of node and the behavior tree structure of the unity engine, unreal engine. Second, discusses the advantages and disadvantages based on it. Third, proposes the behavior tree to improve the disadvantages of behavior tree of unity engine and unreal engine, depth of behavior tree and search time required to select the execution node. This paper can help developers using the tree to develop the game.

행동 트리는 인공지능의 행동을 표현하는 트리로 FSM(Finite State Machine)보다 상태 전이가 용이하고 행동의 진행을 쉽게 알 수 있는 특징을 갖고 있다. 때문에 최근 FSM보다 널리 쓰이고 있는 추세이다. 본 논문은 이러한 배경에서 게임 엔진의 행동 트리의 장단점을 분석하고 이를 바탕으로 개선된 행동 트리를 제안하기 위한 것이다. 이를 위해 본 논문에서는 첫째, 유니티 엔진과 언리얼 엔진의 행동 트리 구조와 노드들의 역할을 먼저 살펴본다. 둘째, 살펴본 행동 트리의 구조와 노드들을 바탕으로 장점과 단점을 논한다. 셋째, 이 행동 트리들의 단점인 트리의 깊이와 실행 노드 검색 시간을 개선한 행동 트리를 제안한다. 본 논문은 추후 행동 트리를 사용해 게임 개발을 하려는 개발자들에게 도움을 줄 수 있다.

Keywords

References

  1. Lee ManJae, “Artfical Intelligence in Game,” Journal of KIPS, Vol. 9, No. 3, pp. 69-76, 2002.
  2. MuounJae Lee, "Implementation of NPC Artificial Intelligence Using Agonistic Behavior of Animals," Journal of Digital Convergence, Vol. 12, No. 1, 2014.
  3. Yong-Gwan Kim, "Study on the Principle of Crowd Simulation Applying Artificial Intelligence," The Korean Journal of Animation, Vol. 5, No. 3, 2009.
  4. YoungIm Cho, "A Study on Application of Artificial Intelligence in Computer Networks," PYONGTAEK REVIEW, Vol. 11, 1998.
  5. Mee Kyung Nam, "A Study on Present Condition of Development and Market of Artificial Intelligence Robot In and Out of Country," Journal of KSDC, Vol. 16, No. 2, 2010.
  6. Byeong Heon Cho, Sung Hoon Jung, et.al, "Artificial Intelligence : An Implementation of Intelligent Game Characters using Neural Networks", The KIPS Transactions : Part B., Vol. 11, No. 7, 2004.
  7. Myun Sub Lee, Byeong Heon Cho, et.al, "An Intelligent Characters for Fighting Action Games Using Genetic Algorithms," The KIPS Transactions : Part B, Vol. 12, No. 3, 2005.
  8. Yong Beom Kim, Yung Sik Kim, "Artificial Intelligence : Development of a Adaptive Knowledge Base Object Model for Intelligent Tutoring System," The KIPS Transactions : Part B, Vol. 14, No3. 2006.
  9. Hyeon-Uk Le, Ji-Hun Kim, Hyunchul Ahn, "An Integrated Model based on Genetic Algorithms for Implementing Cost-Effective Intelligent Intrusion Detection Systems," Journal of Kiiss, Vol. 18, No. 1, 2012.
  10. Kyungul Bae, "Implementation and Design of Artificial Intelligence Face Recognition in Distributed Environment," Journal of Kiiss, Vol. 10, No. 1, 2004.6.
  11. Aung Situ, Cliford Peters, "Unity game AI programming to implement a variety of artificial intelligence technology to Unity," Acon press, 2015.
  12. MyounJae Lee, Implementation of NPC Artificial Intelligence Using Agonistic Behavior of Animals, Journal of Digital Policy Society, Vol. 15, No. 1, pp. 555-561, 2014.
  13. MyounJae Lee, "An Artificial Intelligence Evaluation on FSM-Based Game NPC, Journal of KCGS, vol.14, No. 5, pp. 127-136, 2014.
  14. https://docs.unrealengine.com/latest/KOR/Engine/AI/BehaviorTrees/NodeReference/index.html
  15. http://www.slideshare.net/yonghakim900/2009-ndc
  16. http://betanews.heraldcorp.com/article/631183
  17. JinSeok Seo, “HSM(Hierarchical State Machine) based LOD AI for Computer Games,” Journal of Digital Policy Society, Vol. 14, No. 2, pp. 143-169, 2013.
  18. SunJun Yoo, “A Study on Types and Limitations of Control Systems in Computer Game Artificial Intelligence,” Journal of Digital Policy Society, Vol. 7, No. 1, pp. 35-40, 2006.
  19. KI-Dom Lee, “A Exploration of Neural Network Development Methodologies,” Journal of Digital Policy Society, Vol. 9, No. 4, pp. 91-101, 2011.