Briscola is a trick-taking card game popular in the Mediterranean region. The major appeal of the game is that it has very simple rules that nevertheless give rise to a large number of interesting strategic situations. Bluffing and similar psychological aspects are also a significant factor in the game play.

The aim of the thesis is to implement and evaluate algorithms simulating a Briscola player in a two-player version of the game. The implementation part should consider at least three approaches:
- baseline purely random player
- a simple rule-based player
- a heuristic search algorithm based on Monte Carlo Tree Search (MCST)

The written part of the thesis should contain:
- a description of the Briscola game
- a theoretical description of the implemented algorithms, a brief overview of their implementation
- presentation of experiments, the discussion of outcomes
- a brief overview of state-of-the-art AI approaches to imperfect-information card games.