Playing the SOS Game Using Feasible Greedy Strategy

Authors

DOI:

https://doi.org/10.21512/commit.v14i1.6167

Keywords:

SOS Game, Feasible Greedy Agent, Greedy Strategy, Game Tree

Abstract

The research aims to make an intelligent agent that can compete against the human player. In this research, the feasible greedy strategy is proposed to make an intelligent agent by checking all possible solutions in the limited tree levels to find effective movement. Several matches are conducted to evaluate the performance of the feasible greedy agent. The board size for the evaluation consists of 33, 44, 55, 66, 77, and 88 squares. From the result, the feasible greedy agent never loses against the random agent and the pure greedy agent. In 3 3 squares match, the agent can compensate against the human player, so the game always ends with a draw. In 44, 55, 66, 77, and 88 squares matches, the feasible greedy agent slightly outplays the human player.

Dimensions

Plum Analytics

Author Biography

Abas Setiawan, Universitas Dian Nuswantoro

Department of Informatics Engineering, Faculty of Computer Science

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Published

2020-05-31
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