• Title/Summary/Keyword: 액션 게임

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Measuring gameplay similarity between human and reinforcement learning artificial intelligence (사람과 강화학습 인공지능의 게임플레이 유사도 측정)

  • Heo, Min-Gu;Park, Chang-Hoon
    • Journal of Korea Game Society
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    • v.20 no.6
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    • pp.63-74
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    • 2020
  • Recently, research on automating game tests using artificial intelligence agents instead of humans is attracting attention. This paper aims to collect play data from human and artificial intelligence and analyze their similarity as a preliminary study for game balancing automation. At this time, constraints were added at the learning stage in order to create artificial intelligence that can play similar to humans. Play datas obtained 14 people and 60 artificial intelligence by playing Flippy bird games 10 times each. The collected datas compared and analyzed for movement trajectory, action position, and dead position using the cosine similarity method. As a result of the analysis, an artificial intelligence agent with a similarity of 0.9 or more with humans was found.

An Implementation of Neural Networks Based Intelligent Characters for Two Dimensional Fighting Action Games (이차원 대전 액션 게임을 위한 신경망 기반의 지능 캐릭터 구현)

  • Na, Jong-Min;Oh, Ha-Ryoung;Seong, Yeong-Rak;Jung, Sung-Hoon;Cho, Byeong-Heon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.05a
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    • pp.435-438
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    • 2005
  • 현재 인공지능 기법은 우리 주위의 여러 분야에서 사용되고 있으며, 그 중요도가 점점 높아지고 있다. 이러한 분야 중에 하나가 바로 컴퓨터 게임 분야로 전통적인 인공지능 기법부터 근래에 게임과의 결합이 시도되고 있는 비전통적 기법에 이르기까지 다양한 종류의 방법이 시도되었고, 시도될 예정이다. 본 논문에서는 게임내에서 그 비중이 커져가고 있는 인공지능을 통한 캐릭터의 지능화 방안으로 신경망 기반의 지능 캐릭터를 제안하였다.

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A Study on action game character's motion of Hit Impact - Focusing on the TMNT2 case analysis - (액션 게임 캐릭터의 타격감 동작 연구 -TMNT2 사례분석을 중심으로-)

  • Yoon, Jang Won
    • Journal of Korea Game Society
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    • v.21 no.5
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    • pp.105-114
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    • 2021
  • In this study, we analyzed the motion animation of game characters, which is a visual part of the game elements for 'Hit Impact'. The game selected for analysis focused on the movements of the characters in the arcade game , which is thought to have a weak 'Hit Impact' and looked for the cause. We also analyzed the differences in the motion of the characters in the home transplant version of , which is considered to have improved 'Hit Impact', compared to the arcade version. As a result of the analysis, it was found that the reason for the weak 'Hit Impact' in the arcade version was mainly due to the wrong timing and judgment of hitting and hitting movements, and at the same time, supplemented physical reactions and stun, camera directing, and hitting effects could have a significant impact on improving 'Hit Impact'.

A Serious Game Design and Prototype Development for Rehabilitation using KINECT Tools (KINECT를 활용한 재활 치료용 기능성 게임 개발)

  • Chae, Young Soog
    • Journal of Korea Multimedia Society
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    • v.17 no.2
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    • pp.248-256
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    • 2014
  • This paper designs a serious game for rehabilitation of patients with body pains because they sit down for a long time in the same position, or less physical movement. Activity-based game induces to player improvements in physical exercise with fun elements of the game through entertainment to help the body function and substantially increases the player's commitment during challenging goal. This research is a game design that combines the treatment of color and movement of body to the rhythm of the music. We constructed with XNA Game Studio and KINECT interface with gesture recognition technology. We need to research of evaluation system and test for the actual effect of the treatment and advanced functions of game playes like adding various musics and variety of motion.

An Implementation of Intelligent Game Characters using Neural Networks (신경망을 이용한 지능형 게임 캐릭터의 구현)

  • Cho Byeong-heon;Jung Sung-hoon;Seong Yeong-rak;Oh Ha-ryoung
    • The KIPS Transactions:PartB
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    • v.11B no.7 s.96
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    • pp.831-840
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    • 2004
  • In this paper, we propose a scheme to implement intelligent game characters based on neural networks. Neural networks that implement in-telligent game character receive the action of an opponent character and the distance between them, decide intelligent character's action, and output the decision. The neural networks are trained by reinforcement learning using the scores acquired by the actions of two characters as reinforcement values. To show the usefulness of the proposed scheme, a simple fighting action game is implemented and various experiments are performed. Experimental results show that proposed intelligent characters can learn the rule of the game. The proposed scheme can be ap-plied to massively multiple online games as well as fighting action games.

People Interview - 워크래프트3 개발자 빌 로퍼

  • Korea Database Promotion Center
    • Digital Contents
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    • no.7 s.110
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    • pp.37-37
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    • 2002
  • 1998년 출시된 스타크래프트는 경제, 문화 등 사회전반에 걸쳐 각종 파급효과를 거뒀으며, RPG라는 장르로 많은 인기를 모았던 디아블로는 전 세계 약 500만장의 판매고를 올리며 현재까지도 액션 RPG의 기준으로 자리잡고 있다. 워크래프트3는 2002년 최고의 기대작으로 오크, 휴먼, 언데드, 나이트 앨프 등 4개의 개성있는 종족이 미지의 아제로스 대륙에서 펼치는 끝없는 전쟁을 다룬 전략 시뮬레이션 게임이다.

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Fighting Action Games applied Energy Concepts (에너지 개념을 도입한 대전형 액션 게임)

  • Lee Myun-Sub
    • Journal of the Korea Computer Industry Society
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    • v.7 no.3
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    • pp.163-170
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    • 2006
  • This paper proposes intelligent characters for fighting action games to which energy concepts are applied for more realistic implementation than those of previous researches. The intelligent characters decide their actions in consideration of their energy level as well as a current action, the step of the action, the distance, and past actions of opponent characters that were used in existing intelligent ones. We used two types of energy, HP(Health Point) and MP(Mana Point), that were frequently employed in recent on-line games. We experimented with proposed intelligent characters to investigate whether the intelligent characters loam proper actions and cope with opponent characters in consideration of their energy levels. Experimental results showed that the intelligent characters reacted to the best actions to obtain high score if their energy is sufficient, otherwise they did the actions to recharge their energy. From this observation, we could conclude that the proposed intelligent characters worked well and did effective actions in consideration to the their energy.

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Design and Implementation of Group Behaviors for Doves by Using a Finite State Machine (유한상태기계를 사용한 비둘기들에 대한 집단행동의 설계 및 구현)

  • Lee, Jae-Moon;Cho, Sae-Hong
    • Journal of Korea Game Society
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    • v.10 no.3
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    • pp.93-102
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    • 2010
  • This paper is to design and implement the system to simulate spontaneously the group behaviors for the various states of doves. To do this, the group behaviors of doves were divided into the four action models such as 'Flying', 'Landing', 'Eating' and 'Taking off'. The steering forces composing of each action model were found and each action model was designed by using the finite state machine. The designed system was implemented by integrating the Ogre engine. From the simulations of the implemented system, the values of the parameters for the steering forces were found so that it can represent the spontaneous group behaviors of doves.

A Study on the Graphic Production Technology for AR Augmented Reality Game (AR 증강현실 게임구현을 위한 그래픽 제작기술에 관한 연구)

  • Ko, Ki-Hwan
    • The Journal of Korean Institute of Information Technology
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    • v.16 no.11
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    • pp.123-132
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    • 2018
  • Recently, various methods have been studied and developed to develop the local cultural contents industry. This research has produced a mobile AR augmented reality game that anyone can easily access by developing contents that can be enjoyed with new tourists. It aims to spread 10 million tourists to surrounding tourist attractions by developing a new storytelling-based AR game using the symbol of Jeonju, which is the birthplace of the Joseon Dynasty, and promote economic value-added activities in nearby stores. GPS technology and AR marker-based action augmented reality games will be newly established as cultural contents based on new regional scenarios. Augmented reality games that combine visual resources are increasing values of local brands by playing games at Jeonju tourist attractions.

The Study of Visual Immersion of Interactive Type of VR Action Contents (VR체감형 액션콘텐츠의 시각적 몰입감)

  • Lee, Young-Woo
    • The Journal of the Korea Contents Association
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    • v.20 no.7
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    • pp.525-533
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    • 2020
  • In recent years, the VR-interactive action contents industry, which utilizes five senses of human bodies, has continued to grow through areas such as games, tourism, movies, performances and exhibitions, but it has reached to breaking point by unrealistic visual elements. Therefore, the purpose of this study is to analyze the effect of each evaluation factor based on visual immersion of interactive type of VR action contents to overcome the limitations. For this study, firstly, prior research is reviewed. Secondly, the evaluation factors of visual immersion of interactive type of VR action contents and hypothesis are to be derived. Research finding is that there is no difference to recognize proximity, three-dimensionality, visibility and immersion by gender. Also, in order to influence visual immersion, it is important that 3D modeling of characters and objects must be sophisticated to be fit in with their surroundings and lighting. This makes user to be confused where they are actually in.