Gapoera: Application Programming Interface for AI Environment of Indonesian Board Game

TL;DR

This paper introduces Gapoera, an API that provides intelligent agents for Indonesian board games like Mancala, enabling easier game development with AI integration across multiple platforms.

Contribution

The paper presents the development of Gapoera API, a novel service offering multilevel intelligent agents for Indonesian board games, simplifying AI integration for developers.

Findings

Gapoera API successfully provides accessible AI agents for Indonesian board games.

The multilevel agent concept functions as intended in game testing.

The API is compatible with several game platforms.

Abstract

Currently, the development of computer games has shown a tremendous surge. The ease and speed of internet access today have also influenced the development of computer games, especially computer games that are played online. Internet technology has allowed computer games to be played in multiplayer mode. Interaction between players in a computer game can be built in several ways, one of which is by providing balanced opponents. Opponents can be developed using intelligent agents. On the other hand, research on developing intelligent agents is also growing rapidly. In computer game development, one of the easiest ways to measure the performance of an intelligent agent is to develop a virtual environment that allows the intelligent agent to interact with other players. In this research, we try to develop an intelligent agent and virtual environment for the board game. To be easily accessible, the intelligent agent and virtual environment are then developed into an Application Programming Interface (API) service called Gapoera API. The Gapoera API service that is built is expected to help game developers develop a game without having to think much about the artificial intelligence that will be embedded in the game. This service provides a basic multilevel intelligent agent that can provide users with playing board games commonly played in Indonesia. Although the Gapoera API can be used for various types of games, in this paper, we will focus on the discussion on a popular traditional board game in Indonesia, namely Mancala. The test results conclude that the multilevel agent concept developed has worked as expected. On the other hand, the development of the Gapoera API service has also been successfully accessed on several game platforms.