Description: 一个基于神经网络和遗传算法的游戏自主角色的设计.pdf-One based on neural network and genetic algorithm independent role in the design of the game. Pdf Platform: |
Size: 360448 |
Author:李莹 |
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Description: 我自己写的利益遗传算法和神经网络技术编写的小游戏,对学习人工智能非常有帮助-I wrote it myself in the interests of genetic algorithm and neural network technology to prepare small game AI is very helpful for learning Platform: |
Size: 68608 |
Author:杨为 |
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Description: This thesis aims to clearly describe the cognitive radio and its components and operations. Moreover, it aims on describing the expected outcome from the most common techniques that are proposed for use in cognitive radios. In addition, it describes the basic principles of game theory and some simple game models that can be used to analyze the efficiency of the optimization algorithms. Furthermore, it investigates the use of load balancing algorithm and genetic algorithm in optimizing the decision making operation in cognitive radios. Matlab software simulations were carried out and the results show the promising benefit of using those two algorithms along with game theory in optimizing the dynamic spectrum allocation process. Platform: |
Size: 389120 |
Author:hachem |
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Description: This application comprises a market simulation game populated by artificially intelligent trading agents. Each agent is controlled by a virtual machine that executes a simple program based on a customized machine language. The programs may be randomly generated, or may be hand-programmed by the user via an embedded assembler. Alternatively, the program can generate skilled agents automatically via a competitive genetic algorithm, which generates a number of agent programs, competes them for a number of simulations, chooses the most successful agent programs, and randomly crosses over their programs to create new agent programs. The application may also run an instance of the market-trading game, populated by agents running specific programs. As the game progresses, the application provides a realtime graphical display of market conditions and each player s resources, as well as the current events affecting the market. The user may also directly participate as a player in the game. Platform: |
Size: 156672 |
Author:diana |
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Description: 中国象棋计算机博弈系统评估函数的自适应遗传算法实现。-Chinese Chess Computer Game System Evaluation Function in Adaptive Genetic Algorithm. Platform: |
Size: 229376 |
Author:李响 |
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Description: 遗传算法和神经网络在游戏地图寻路中的运用-遗传算法主程序-The use of genetic algorithms and neural networks in game map pathfinding- genetic algorithm main program Platform: |
Size: 1024 |
Author:qiuchangfeng |
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Description: 在数学建模比赛中,大量存在优化问题,而遗传算法可以解决大量的优化问题-Mathematical modeling in the game, there are a lot optimization problem, and genetic algorithm can solve a lot of optimization problems Platform: |
Size: 3072 |
Author:肖罗 |
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Description: The 3x3 boxes puzzle is a common and yet simple puzzle game that can play by all kind of people. The task provided by the puzzle can either be simple or complex depends on the situations. It is a mathematical puzzles that using simple mathematical operation like summation to solve the task. This 3 by 3 boxes puzzle consist of only 3 horizontal rows and 3 vertical columns. Each box in the puzzle, either row or column can only contains values within the range of 0 to 15. The goal for this puzzle is to find total values of 24 in every row and column. This puzzle seems complex, but human may be able to solve quickly due to its superior intelligence compared to computer which needed to generate random values to solve this puzzle. Genetic algorithm is one of the methods for solving this kind of puzzle problem quickly and efficiently-The 3x3 boxes puzzle is a common and yet simple puzzle game that can play by all kind of people. The task provided by the puzzle can either be simple or complex depends on the situations. It is a mathematical puzzles that using simple mathematical operation like summation to solve the task. This 3 by 3 boxes puzzle consist of only 3 horizontal rows and 3 vertical columns. Each box in the puzzle, either row or column can only contains values within the range of 0 to 15. The goal for this puzzle is to find total values of 24 in every row and column. This puzzle seems complex, but human may be able to solve quickly due to its superior intelligence compared to computer which needed to generate random values to solve this puzzle. Genetic algorithm is one of the methods for solving this kind of puzzle problem quickly and efficiently Platform: |
Size: 5769216 |
Author:sheqeen |
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Description: 游戏编程中的人工智能技术
包括遗传算法、神经网络的游戏编程.-The technology of artificial intelligence in game programming
Including genetic algorithm, neural network game programming. Platform: |
Size: 11571200 |
Author:何志彪 |
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Description: This is an implementation of a genetic algorithm that solves the traveling salesman problem, created as a part of an online course in artificial intelligence for game programming. Code written scratch, theoretical information on TSP and genetic algorithms obtained mostly online besides an introductory lecture. Source and readme can be foun-This is an implementation of a genetic algorithm that solves the traveling salesman problem, created as a part of an online course in artificial intelligence for game programming. Code written scratch, theoretical information on TSP and genetic algorithms obtained mostly online besides an introductory lecture. Source and readme can be foun Platform: |
Size: 8922112 |
Author:exemist |
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Description: Model an agent-based model of autonomous agents controlled with neural networks without space, in a resource gathering game with seasonal food distribution, deciding of actions in a game of survival in which they need to pick among 5 actions to gain energy. Each agent possesses a genotype defining its behavior. The agents are evolving through time, via a genetic algorithm, with agents with the most energy able to survive long winters. Platform: |
Size: 139264 |
Author:ookwrd |
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