• Title/Summary/Keyword: Game Mechanism

Search Result 136, Processing Time 0.028 seconds

Comparative Analysis of Game-Theoretic Demand Allocation for Enhancing Profitability of Whole Supply Chain (전체 공급망 수익성 개선을 위한 게임이론 기반의 수요 할당 메커니즘의 비교 연구)

  • Shin, Kwang Sup
    • The Journal of Society for e-Business Studies
    • /
    • v.19 no.1
    • /
    • pp.43-61
    • /
    • 2014
  • This research is an application of game theory to developing the supplier selection and demand allocation mechanism, which are the essential and major research areas of supply chain planning and operation. In this research, the most popular and widely accepted mechanism, the progressive reverse auction is analyzed and compared with the other game theoretic approach, Kalai-Smorodinsky Bargaining Solution in the viewpoint of holistic efficiency of supply chain operation. To logically and exquisitely compare the efficiencies, a heuristic algorithm based on Genetic Algorithm is devised to find the other optimal demand allocation plan. A well known metric, profit-cost ratio, as well as profit functions for both suppliers and buyer has been designed for evaluating the overall profitability of supply chain. The experimental results with synthesis data and supply chain model which were made to mimic practical supply chain are illustrated and analyzed to show how the proposed approach can enhance the profitability of supply chain planning. Based on the result, it can be said that the proposed mechanism using bargainging solution mayguarantee the better profitability for the whole supply chin including both suppliers and buyer, even though quite small portion of buyer's profitability should be sacrified.

A Study on Game Dynamics of Battle Royale Genre (배틀로얄 장르의 게임 다이나믹 고찰 -<배틀그라운드>를 중심으로-)

  • Ahn, Jin-kyoung
    • Journal of Korea Game Society
    • /
    • v.17 no.5
    • /
    • pp.27-38
    • /
    • 2017
  • The purpose of this study is to analyze the game dynamics of 'Battle Royale' genre and how these dynamics create dramatic tension, focused on . Battle Royale games maintain the dramatic tension through the intersection of uncertainty and inevitability. Uncertainty is reinforced by randomness of the game world and hidden information of player statement. Inevitability is emerged from the level design with choke point, and restriction of playable field over time. From this mechanism, Battle Royale genre establishes the gameness which derives player's meaningful choice and maintains player's tension until the end of the game.

Incentive Mechanism based on Game Theory in Kad Network (Kad 네트워크에서 게임 이론을 바탕으로 한 인센티브 메커니즘)

  • Wang, Xu;Ni, Yongqing;Nyang, Dae-Hun
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.20 no.3
    • /
    • pp.43-52
    • /
    • 2010
  • The Kad network is a peer-to-peer (P2P) network which implements the Kademlia P2P overlay protocol. Nowadays, the Kad network has attracted wide concern as a popular architecture for file sharing systems. Meanwhile, many problems have been coming out in these file sharing systems such as freeriding of users, uploading fake files, spreading viruses, and so on. In order to overcome these problems, we propose an incentive mechanism based on game theory, it establishes a more stable and efficient network environment for Kad users. Users who share valuable resources receive rewards by increasing their credits, while others who supply useless or harmful files are punished. This incentive mechanism in Kad network can be used to detect and prevent malicious behaviors of users and encourage honest interaction among users.

Top-down Behavior Planning for Real-life Simulation

  • Wei, Song;Cho, Kyung-Eun;Um, Ky-Hyun
    • Journal of Korea Multimedia Society
    • /
    • v.10 no.12
    • /
    • pp.1714-1725
    • /
    • 2007
  • This paper describes a top-down behavior planning framework in a simulation game from personality to real life action selection. The combined behavior creating system is formed by five levels of specification, which are personality definition, motivation extraction, emotion generation, decision making and action execution. Along with the data flowing process in our designed framework, NPC selects actions autonomously to adapt to the dynamic environment information resulting from active agents and human players. Furthermore, we illuminate applying Gaussian probabilistic distribution to realize character's behavior changeability like human performance. To elucidate the mechanism of the framework, we situated it in a restaurant simulation game.

  • PDF

Game Theoretic Analysis of the Price and Quality Strategy of a Private Brand Product (게임이론을 이용한 자체브랜드 제품의 가격 및 품질전략 분석)

  • Cho, Hyung-Rae;Rhee, Min-Ho
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.34 no.3
    • /
    • pp.41-48
    • /
    • 2011
  • Recently, the increasing power of distributors has given them the opportunity of introducing private brand (PB) products. Based on the game theory, this study analyzes the decision making of a distributor regarding the optimal pricing and quality strategies for the PB product. By analyzing the game model, it is shown that the pricing mechanism heavily depends not only on the market power of the distributor but on the quality of the PB product. It is also shown that, counter intuitively, as the market power of the distributor increases, the optimal quality of the PB product should be decreased.

Dynamic Load Balancing Mechanism for MMORPG (MMORPG를 위한 동적 부하 균등화 기법)

  • Lim, Chae-Gyun;Rho, Kyung-Taeg
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.9 no.5
    • /
    • pp.199-203
    • /
    • 2009
  • Recently, Massively Multiplayer Online Role-Playing Games (MMORPGs) has become increasingly popular, which continue to increase the number of game player. The volume of the game world also has been extended on a large scale. Existing Map-based distributed server architecture divides the game world into the rectangular regions and allocates the registered player in each region to the server responsible for that region. Players tend to concentrate in certain regions of the game world, which makes some special server overloaded. This paper proposes to change the boundary between servers to solve such a unbalanced load problem. Our proposed method first finds the overloaded server and then searches for its neighboring lightest loaded server to share with the overload evenly. Finally we implemented performance evaluation to demonstrate the efficiency of this approach.

  • PDF

Spectrum Allocation based on Auction in Overlay Cognitive Radio Network

  • Jiang, Wenhao;Feng, Wenjiang;Yu, Yang
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.9 no.9
    • /
    • pp.3312-3334
    • /
    • 2015
  • In this paper, a mechanism for spectrum allocation in overlay cognitive radio networks is proposed. In overlay cognitive radio networks, the secondary users (SUs) must first sense the activity of primary users (PUs) to identify unoccupied spectrum bands. Based on their different contributions for the spectrum sensing, the SUs get payoffs that are computed by the fusion center (FC). The unoccupied bands will be auctioned and SUs are asked to bid using payoffs they earned or saved. Coalitions are allowed to form among SUs because each SU may only need a portion of the bands. We formulate the coalition forming process as a coalition forming game and analyze it by game theory. In the coalition formation game, debtor-creditor relationship may occur among the SUs because of their limited payoff storage. A debtor asks a creditor for payoff help, and in return provides the creditor with a portion of transmission time to relay data for the creditor. The negotiations between debtors and creditors can be modeled as a Bayesian game because they lack complete information of each other, and the equilibria of the game is investigated. Theoretical analysis and numerical results show that the proposed auction yields data rate improvement and certain fairness among all SUs.

Performative Writing of Coding Game (코딩 교육용 게임에 나타난 수행적 글쓰기 - 를 중심으로)

  • Yun, Hyun-Jung
    • Journal of Korea Game Society
    • /
    • v.16 no.1
    • /
    • pp.51-62
    • /
    • 2016
  • This study tries to present a new perspective for the coding and coding education. Therefore, this study analyzes coding game as performative writing. First, coding as writing process has the mechanism of serial expansion and circulation by utilizing basic code blocks. And coding as writing process produces a meaning as unit operation that generate an emergent game play. Second, coding as performative writing displays the speaking and writing at the same time and is embodied in game play. Also, absence of failure and correction makes possible users to explore the problem area and to strengthen the problem-solving ability.

A Study on the frame within a frame as a Digital Game Design Tool (디지털 게임 설계 장치로서의 다중 프레임 연구)

  • Kim, Da-In;Sung, Jung-Hwan
    • Journal of Korea Game Society
    • /
    • v.21 no.6
    • /
    • pp.111-124
    • /
    • 2021
  • Starting with painting, it is the frame that plays the main role in movies, cartoons, and games as well as the act of attracting the audience's attention. Knowing about a frame is to be able to read and use the frame. Therefore, this paper deals with frames of digital games, especially multiple frames that complement the limited configuration of primary frames. In this paper, frame within frames are classified into structural frames, which are the basic components of the game, temporal frames, which reflect player behavior, and surface frames representing the characteristics of existing visual media. Through this, we examine the aspects of frame within a frame as digital game design equipment. This paper is meaningful in that it derives the possibility of using frame within a frame of games in the future and provides a mechanism for frame within a frame analysis.

Optimal Price Strategy Selection for MVNOs in Spectrum Sharing: An Evolutionary Game Approach

  • Zhao, Shasha;Zhu, Qi;Zhu, Hongbo
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.6 no.12
    • /
    • pp.3133-3151
    • /
    • 2012
  • The optimal price strategy selection of two bounded rational cognitive mobile virtual network operators (MVNOs) in a duopoly spectrum sharing market is investigated. The bounded rational operators dynamically compete to sell the leased spectrum to secondary users in order to maximize their profits. Meanwhile, the secondary users' heterogeneous preferences to rate and price are taken into consideration. The evolutionary game theory (EGT) is employed to model the dynamic price strategy selection of the MVNOs taking into account the response of the secondary users. The behavior dynamics and the evolutionary stable strategy (ESS) of the operators are derived via replicated dynamics. Furthermore, a reward and punishment mechanism is developed to optimize the performance of the operators. Numerical results show that the proposed evolutionary algorithm is convergent to the ESS, and the incentive mechanism increases the profits of the operators. It may provide some insight about the optimal price strategy selection for MVNOs in the next generation cognitive wireless networks.