• Title/Summary/Keyword: strategic game

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Studies on Young Children's Strategic Thinking in the Board Games (보드게임 과정에서 나타난 아동의 전략적 사고에 관한 탐색적 연구)

  • Lim, Soo Jin;Lee, Hye Won
    • Korean Journal of Child Studies
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    • v.28 no.4
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    • pp.265-276
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    • 2007
  • The purpose of this study is to analyze the types of children's strategic thinking in the board games. Subject were 98 5-7-year-old children were participated in this study. Children divided by age were provided the same board game. Strategies used by the children to play the game were classified by age. The observational results were as follow; 1)Children used 9 strategies. Comparing to Kamii's study, children utilized 2 more strategic thinking. 2)Children used different game strategies based on children's age. Results showed that game strategies differentiated by child's age: five-year-olds used fewer strategies and older children applied a wider range of strategies.

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An Improved Generation Maintenance Strategy Analysis in Competitive Electricity Markets Using Non-Cooperative Dynamic Game Theory (비협조 동적게임이론을 이용한 경쟁적 전력시장의 발전기 보수계획 전략 분석)

  • 김진호;박종배;김발호
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.52 no.9
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    • pp.542-549
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    • 2003
  • In this paper, a novel approach to generator maintenance scheduling strategy in competitive electricity markets based on non-cooperative dynamic game theory is presented. The main contribution of this study can be considered to develop a game-theoretic framework for analyzing strategic behaviors of generating companies (Gencos) from the standpoints of the generator maintenance-scheduling problem (GMP) game. To obtain the equilibrium solution for the GMP game, the GMP problem is formulated as a dynamic non-cooperative game with complete information. In the proposed game, the players correspond to the profit-maximizing individual Gencos, and the payoff of each player is defined as the profits from the energy market. The optimal maintenance schedule is defined by subgame perfect equilibrium of the game. Numerical results for two-Genco system by both proposed method and conventional one are used to demonstrate that 1) the proposed framework can be successfully applied in analyzing the strategic behaviors of each Genco in changed markets and 2) both methods show considerably different results in terms of market stability or system reliability. The result indicates that generator maintenance scheduling strategy is one of the crucial strategic decision-makings whereby Gencos can maximize their profits in a competitive market environment.

Analysis on the Strategic Bidding of the Generation Capacity in an Electricity Market by Using Game Theory (전력시장에서 발전가능용량의 전략적 입찰에 대한 게임이론적 해석)

  • 이광호
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.53 no.5
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    • pp.302-307
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    • 2004
  • As deregulation of power industry is becoming a reality, there has been an intense interest in the strategic bidding for suppliers to maximize their profits. The profit gained by a supplier is related not only to its energy-price bid curve but also to its submitted operational parameters such as generation capacity, etc. So suppliers are willing to use those strategic parameters that can be manipulated by themselves and are effective to their profit. This paper deals with the competition model with compound strategies: generation capacity and bidding curve. The parameter space is modeled by dividing into the two strategies, so the problem is made up of the four types of sub-game in a two player game. This paper analyzes the global Nash Equilibrium (NE) over the whole divisions by computing the sub-game NEs in some divisions and by deriving the best response curves which have discontinuities in other divisions. The global NE is shown to correspond to the Cournot NE where the quantity variable is realized by a constraints of a generation capacity.

A Study on Game Development for Strategic Human Resource Management (전략적 인적자원관리 게임 개발에 관한 연구)

  • Jeon, JoongYang;Bae, Soon-Han
    • Journal of Digital Convergence
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    • v.10 no.10
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    • pp.129-137
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    • 2012
  • Entering $21^{st}$ Century, the most critical keyword for companies is change and innovation. To achieve it, Obtaining right person becomes more and more important to those companies. It is not only supported by managers in business world but also by academia. However it is not easy to obtain right persons who have right experiences and knowledges. Therefore, the purpose of this study is to build strategic system which support help to hire and manage human resource. In this study, the suggested system is a type of strategic simulation game and job seeker can get several opportunities to be hired by joining the game. this system would help for companies to manage and hire right persons and there will be extra business opportunities. In conclusion, this system based on strategic simulation game would help human resource management and also promote job market and exchanging and trading companies' information and knowledge as well.

Strategic Decision Making Model Among Collective Intelligences Using The Game Theory in Cyber Attacks - Case study of KHNP Hacking - (사이버공격시 게임이론을 활용한 집단지성간 전략결정 모델 연구 - 한수원 해킹사건을 중심으로 -)

  • Park, Sang-min;Lee, Kyung-ho;Lim, Jong-in
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.1
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    • pp.237-246
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    • 2016
  • Recently various types of cyber attacks have occurred. The strategic goals & tactical means of these have evolved. Especially KHNP cyber attack was the type of hacktivism combined hack and psychological warfare. The cyber attackers have forecd the nation to participate in the cyber warfare and the government to make strategic decisions to the releases of confidential information and the threats of stopping KHNP. In this paper, we would like to study the effective strategic decision-making model utilizing the game theory and including an attack intelligence on open policy Decision framework.

Predicting Game Results using Machine Learning and Deriving Strategic Direction from Variable Importance (기계학습을 활용한 게임승패 예측 및 변수중요도 산출을 통한 전략방향 도출)

  • Kim, Yongwoo;Kim, Young‐Min
    • Journal of Korea Game Society
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    • v.21 no.4
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    • pp.3-12
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    • 2021
  • In this study, models for predicting the final result of League of Legends game were constructed for each rank using data from the first 10 minutes of the game. Variable importance was extracted from the prediction models to derive strategic direction in early phase of the game. As a result, it was possible to predict final results with over 70% accuracy in all ranks. It was found that early game advantage tends to lead to the final win and this tendency appeared stronger as it goes to challenger ranks. Kill(death) was found to be the most influential factor for win, however, there were also variables whose importance rank changed according to rank. This indicates there is a difference in the strategic direction in the early stage of the game depending on the rank.

Strategic Errors Detection in Gameplay by the Inspection of Payoff Matrices (보수행렬 검사를 통한 게임플레이의 전략적 오류 검출)

  • Chang, Hee-Dong
    • Journal of Korea Game Society
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    • v.11 no.2
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    • pp.13-18
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    • 2011
  • Sid Meier said, "A game is a series of interesting choices." This means the interesting choices make the game funny. In this paper, we define the no interesting options in the gameplay as strategic errors of the gameplay and suggest a detection method of these errors of the gameplay. The suggested method detects the strategic errors of the gameplay by the inspection of the payoff matrices. This method can detect the options of no strategies of the opponent, dominant options, dominated options, similar options with almost same payoffs in the case of the inspection of the payoff matrices. Additionally it can detect the options of the expected payoff with excessively high, the options of the expected payoff with excessively low, the options of the usage probability with excessively high, and the options of the usage probability with excessively low in the case of the inspection of the payoff matrices with the corresponding frequency rates.

Ripple Effects of Electronic Games and Evolution of Electronic Game Platforms

  • Eun, Kwang-Ha
    • International Journal of Contents
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    • v.6 no.1
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    • pp.20-25
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    • 2010
  • This paper discusses an academic study on electronic games and their incredibly vast and rapid growth over the years. It specifically addresses the evolution of electronic games from the 1960s to today, the ripple effects of electronic games, and the development of electronic game platforms. In terms of scope, the study first describes the ripple effects of the emergence of electronic games in chronological order and from the "immersion" and "convergence" perspectives, and then explores the evolution of electronic game platforms such as arcade machines, video consoles, personal computers, and mobile game devices.