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Game of Bloxorz Solving Agent Using Informed and Uninformed Search Strategies

机译:使用知情和不知情的搜索策略的Bloxorz求解剂的游戏

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Bloxorz is a block sliding puzzle game that can be categorized as a pathfinding problem. Pathfinding problems are well known problems in Artificial Intelligence field. In this paper, we proposed a single agent implementation to solve level-1 of Bloxorz game using Informed and Uninformed searching algorithms: Breadth-First Search (BFS), Depth-First Search (DFS), and A-star (A*) searching algorithms. The agent solves the problem using the three algorithms to compare their performance and conduct a conclusion that may help in improving the use of searching algorithms in this area. In this paper, A* and breadth-first search algorithms are founded to be more convenient to solve this problem.
机译:Bloxorz是一个块滑动益智游戏,可以被分类为Pathfinding问题。探测问题是人工智能领域的众所周知问题。在本文中,我们提出了一种单一的代理实施,以解决Bloxorz游戏的Level-1使用知情和不知情的搜索算法:广度第一搜索(BFS),深度第一搜索(DFS)和A-Star(A *)搜索算法。代理解决了使用三种算法来比较它们的性能的问题,并进行了一个结论,可以有助于改善该区域中搜索算法的使用。在本文中,建立了一个*和广度第一搜索算法,以更方便解决这个问题。

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