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publication name Tahani Q. Alhassan, Shefaa S. Omar, Lamiaa A. Elrefaei, Game of Bloxorz Solving Agent Using Informed and Uninformed Search Strategies, Procedia Computer Science, Volume 163, 2019, Pages 391-399, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2019.12.121.
Authors
year 2020
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Paper Link https://www.sciencedirect.com/science/article/pii/S187705091932160X?via%3Dihub
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Abstract

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.

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