An intelligent agent of finite state machine in educational game "flora the Explorer"

Abstract

Game simulation-based education is designed to simulate the existing problems in order to obtain knowledge that can be used to solve the problem. Simulation games with educational purposes can be used as a medium of education that has the learning patterns of learning by doing. Based on the pattern which is owned by the game, players are required to learn in order to solve existing problems. In making the educational game "Flora the Explorer Introduction to Plant with Android-Based Finite State Machine". Applications used in making the game is Swish max4 and the shuffle algorithm random expected this game does not become monotonous, and players cannot remember the position of the bubble in the game, then the game agent using the Finite State Machine (FSM), the game agent will give notice to when the players answer wrong or right in the game.