Improvisation of Minimax Algorithm with Multi Criteria Decision Maker (MCDM) in the Intelligent Agent of Card Battle Game

Choosing the right algorithm for Intelligent Agent is very important in determining the next step. Actions taken by an Intelligent Agent with less optimum algorithm can be figured out easily by the player competing with it. This certainly makes it easier for the player to win the game. Card Battle is a game that compares the strength of both card decks. They competed to determine who has the best cards on deck to reduce the enemy health point. Intelligent Agent need to act as the competing enemy called Non-Player Character (NPC). Presently, Intelligent Agent on Card Battle Games still use the Minimax Algorithm. This algorithm thinks only to counter enemy summoned card without considering other things such as enemy health point left, the cost for summoning a card, etc. Improvisation of Minimax Algorithm with Multi Criteria Decision Maker (MCDM) provides a new way of thinking for the decision making during the game. The results of this study increase the difficulty of the NPC by making it possible for the Intelligent Agent to consider more game properties and counter the player cards.