Author: 1. Rusli Siahan, 2. Agustinus Pindoan Panjaitan, 3. Putri Angela Santoso
The Punto Game Application Design focuses on the development of an artificial intelligence (AI) agent for a multiplayer board game called Punto. The author chose the Minimax algorithm with Alpha-Beta Pruning as the core AI because it is considered to best suit the characteristics of the game, although other AIs such as Monte Carlo Tree Search and Reinforcement Learning are discussed as alternatives. This paper explains in detail the rules of the Punto game, including the 9x9 board size and winning conditions, as well as how the game modeling is represented in the form of cell states. Furthermore, it describes the evaluation function used by the AI to make decisions, including various card patterns and heuristic constant values that are tested to generate Offensive, Defensive, or Balanced strategies.