• 제목/요약/키워드: potential game theory

검색결과 30건 처리시간 0.018초

A Study on the Serious Games Design Framework via Potential Outcomes - Focused on Construal Level Interventions

  • Lee, Hye Rim;Jeong, Eui Jun
    • International Journal of Contents
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    • 제10권4호
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    • pp.53-62
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    • 2014
  • Although many studies have considered the outcomes and impacts of serious games, little is known about the factors which affect a user's perception or interpretation in games during the process of decision making from theoretical perspectives. This study aimed to explore the process of user perception from the perspective of construal level theory, and to suggest a theoretical design approach for the development of effective serious games. In the current study, cognitive and affective learning outcomes were articulated through literature review and synthesized into a series of assumptions with persuasive and educational aspects in serious games. Serious games reflect the potential of the game mechanism for changing players' perception, and helping with knowledge acquisition of the users. The potential to use construal level theory for effective serious games interventions was suggested, and a Serious Games Design Framework was proposed via potential outcomes from recent advanced research. Finally, implications of the application of the suggested model with various-related purposes and directions for future research were discussed. The model could be useful not only for game researchers and designers, but also for game marketers in attracting potential consumers.

Game-Theoretic Optimization of Common Control Channel Establishment for Spectrum Efficiency in Cognitive Small Cell Network

  • Jiao Yan
    • International journal of advanced smart convergence
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    • 제13권1호
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    • pp.1-11
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    • 2024
  • Cognitive small cell networks, consisting of macro-cells and small cells, are foreseen as a promising candidate solution to address 5G spectrum scarcity. Recently, many technological issues (such as spectrum sensing, spectrum sharing) related to cognitive small cell networks have been studied, but the common control channel (CCC) establishment problem has been ignored. CCC is an indispensable medium for control message exchange that could have a huge significant on transmitter-receiver handshake, channel access negotiation, topology change, and routing information updates, etc. Therefore, establishing CCC in cognitive small cell networks is a challenging problem. In this paper, we propose a potential game theory-based approach for CCC establishment in cognitive radio networks. We design a utility function and demonstrate that it is an exact potential game with a pure Nash equilibrium. To maintain the common control channel list (CCL), we develop a CCC update algorithm. The simulation results demonstrate that the proposed approach has good convergence. On the other hand, it exhibits good delay and overhead of all networks.

Global Optimization for Energy Efficient Resource Management by Game Based Distributed Learning in Internet of Things

  • Ju, ChunHua;Shao, Qi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권10호
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    • pp.3771-3788
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    • 2015
  • This paper studies the distributed energy efficient resource management in the Internet of Things (IoT). Wireless communication networks support the IoT without limitation of distance and location, which significantly impels its development. We study the communication channel and energy management in the wireless communication network supported IoT to improve the ability of connection, communication, share and collaboration, by using the game theory and distributed learning algorithm. First, we formulate an energy efficient neighbor collaborative game model and prove that the proposed game is an exact potential game. Second, we design a distributed energy efficient channel selection learning algorithm to obtain the global optimum in a distributed manner. We prove that the proposed algorithm will asymptotically converge to the global optimum with geometric speed. Finally, we make the simulations to verify the theoretic analysis and the performance of proposed algorithm.

Game Theory based Dynamic Spectrum Allocation for Secondary Users in the Cell Edge of Cognitive Radio Networks

  • Jang, Sungjin;Kim, Jongbae;Byun, Jungwon;Shin, Yongtae
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권7호
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    • pp.2231-2245
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    • 2014
  • Cognitive Radio (CR) has very promising potential to improve spectrum utilization by allowing unlicensed Secondary Users (SUs) to access the spectrum dynamically without disturbing licensed Primary Users (PUs). Mitigating interference is a fundamental problem in CR scenarios. This is particularly problematic for deploying CR in cellular networks, when users are located at the cell edge, as the inter-cell interference mitigation and frequency reuse are critical requirements for both PUs and SUs. Further cellular networks require higher cell edge performance, then SUs will meet more challenges than PUs. To solve the performance decrease for SUs at the cell edge, a novel Dynamic Spectrum Allocation (DSA) scheme based on Game Theory is proposed in this paper. Full frequency reuse can be realized as well as inter-cell interference mitigated according to SUs' sensing, measurement and interaction in this scheme. A joint power/channel allocation algorithm is proposed to improve both cell-edge user experience and network performance through distributed pricing calculation and exchange based on game theory. Analytical proof is presented and simulation results show that the proposed scheme achieves high efficiency of spectrum usage and improvement of cell edge SUs' performance.

Distributed Carrier Aggregation in Small Cell Networks: A Game-theoretic Approach

  • Zhang, Yuanhui;Kan, Chunrong;Xu, Kun;Xu, Yuhua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권12호
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    • pp.4799-4818
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    • 2015
  • In this paper, we investigate the problem of achieving global optimization for distributed carrier aggregation (CA) in small cell networks, using a game theoretic solution. To cope with the local interference and the distinct cost of intra-band and inter-band CA, we propose a non-cooperation game which is proved as an exact potential game. Furthermore, we propose a spatial adaptive play learning algorithm with heterogeneous learning parameters to converge towards NE of the game. In this algorithm, heterogeneous learning parameters are introduced to accelerate the convergence speed. It is shown that with the proposed game-theoretic approach, global optimization is achieved with local information exchange. Simulation results validate the effectivity of the proposed game-theoretic CA approach.

A Flexible Network Access Scheme for M2M Communications in Heterogeneous Wireless Networks

  • Tian, Hui;Xie, Wei;Xu, Youyun;Xu, Kui;Han, Peng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권10호
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    • pp.3789-3809
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    • 2015
  • In this paper, we deal with the problem of M2M gateways' network selection for different types of M2M traffic in heterogeneous wireless networks. Based on the difference in traffic's quality of service (QoS) requirements, the M2M traffic produced by various applications is mainly classified as two categories: flexible traffic and rigid traffic. Then, game theory is adopted to solve the problem of network-channel selection with the coexistence of flexible and rigid traffic, named as flexible network access (FNA). We prove the formulated discrete game is a potential game. The existence and feasibility of the Nash equilibrium (NE) of the proposed game are also analyzed. Then, an iterative algorithm based on optimal reaction criterion and a distributed algorithm with limited feedback based on learning automata are presented to obtain the NE of the proposed game. In simulations, the proposed iterative algorithm can achieve a near optimal sum utility of whole network with low complexity compared to the exhaustive search. In addition, the simulation results show that our proposed algorithms outperform existing methods in terms of sum utility and load balance.

Analyzing the Effects of Anthropomorphism in NPCs Applied by GPT on User Satisfaction and Loyalty

  • Namjae Cho;Zhilan Cao;Giseob Yu
    • Journal of Information Technology Applications and Management
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    • 제31권4호
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    • pp.121-137
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    • 2024
  • This research studies NPCs applied by Generative Pre-trained Transformer (GPT) Technology. This study set three independent variables as characteristics of the NPCs applied GPT. User immersion is set as a mediator variable, while user game satisfaction and loyalty are chosen as dependent variables. The Stimulus-Organism-Response (SOR) theory is employed to study user attitude changes, and immersion is examined through the Flow Theory. The study found that interactions between NPCs and users directly and indirectly influence user satisfaction and loyalty. This suggests that NPCs capable of providing users with desired information, rather than merely following predetermined protocols, can enhance the user's affinity for the game. Furthermore, the intelligence and human-likeness of NPCs were found to indirectly influence satisfaction and loyalty through immersion. These findings underscore the importance of GPT-applied NPCs in the gaming industry, with potential implications for the future development and enhancement of such NPCs within games.

비모수 분석모형(DEA)을 활용한 국내 온라인게임 기업의 인적자본 효율성 연구 (A Study of the Human Capital Efficiency in the Korean Online Game Business using Non-parametric Analysis Model(DEA))

  • 윤건우;유승호
    • 한국게임학회 논문지
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    • 제9권2호
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    • pp.81-93
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    • 2009
  • 본 논문은 21세기 지식기반 경제의 가치 창출 원천이 새로운 아이디어와 창의성의 주체인 인적자본에 있음을 근거로 국내 온라인게임 기업 인적자본 운영의 효율성을 연구해보았다. 온라인게임 산업은 최근 국가 신성장 동력으로 주목 받고 있는 문화콘텐츠 서비스업의 하나로, 세계 최고의 기술과 콘텐츠를 기반으로 하여 높은 연평균 성장률과 수출 공헌도를 보이고 있는 산업이다. 이런 맥락에서 본 논문은 인적자본이론, 지식경제이론, 경제성장이론에 기초하여 온라인게임 산업에서 인적자본이 지속적인 성장을 견인할 수 있음을 이론적으로 규명하였다. 또한 대표적인 비모수적 분석모형인 자료 포락 분석(DEA)을 통하여 국내 온라인게임 기업의 인적자원 운영 규모, 투자, 교육, 보상의 투입 효율성을 기업의 산출이라고 할 수 있는 매출을 기준으로 실증 분석 하였다. 이 연구를 통해 국내 온라인게임 기업들에게 미래의 지속 가능한 성장 동력인 인적자본을 운영함에 있어 최적의 효율성을 달성할 수 있도록 전략적 시사점을 제공할 수 있을 것이다

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경쟁형 전력시장에서 입찰담합의 유인에 대한 분석 기법 연구 (Analysis Technique on Collusive Bidding Incentives in a Competitive Generation Market)

  • 이광호
    • 대한전기학회논문지:전력기술부문A
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    • 제55권6호
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    • pp.259-264
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    • 2006
  • This paper addresses the collusive bidding that functions as a potential obstacle to a fully competitive wholesale electricity market. Cooperative game is formulated and the equation of its Nash Equilibrium (NE) is derived on the basis of the supply function model. Gencos' willingness to selectively collude is expressed through a bargain theory. A Collusion Incentive Index(CII) for representing the willingness is defined through computing the Gencos' profits at NE. In order to keep the market non-cooperative, the market operator has to know the highest potentially collusive combination among the Gencos. Another index, which will be called the Collusion Monitoring Index(CMI), is suggested to detect the highest potential collusion and it is calculated using the marginal cost functions of the Gencos without any computation of NE. The effectiveness of CMI for detecting the highest potential collusion is verified through application on many test market cases.

디지털 게임의 장르 문법 연구 -FPS 장르를 중심으로- (A Study of Digital Game Grammar)

  • 이동은
    • 한국게임학회 논문지
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    • 제15권2호
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    • pp.7-18
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    • 2015
  • 본 연구는 디지털 게임, 그 중에서도 특히 FPS 장르의 게임들이 특정한 규칙과 패턴을 반복, 변형, 적용하면서 발전해가고 있음을 전제로 FPS 게임의 장르적 관습을 이론화하고 이를 통해 세부 문법을 도출하는 것을 목적으로 한다. 이를 위해 본 연구에서는 우선 게임 장르 연구의 필요성을 검증하고, 구체적인 사례를 통해 FPS 게임의 장르적 문법을 여섯 가지 측면에서 도출한다. 여섯 가지 측면은 FPS의 서사 문법, 아바타, 공간, 주요 아이템인 무기, 게임 플레이의 핵심인 사격 메커니즘, 그리고 인터페이스이다. 이와 같은 연구는 게임학 이론 정립에 이바지하고 게임을 기획하거나 개발하려는 창작자들을 위한 하나의 지시서를 제공한다는 점에 의의가 있다.