Opponent Modelling in Games with Imperfect Information

The main concern of this paper is the problem of opponent modeling. The goal of this work is to introduce reasonable selection of techniques, which model the opponent's behavior and use it in effective way. In this work I focused on explanation of fundamental terms, introduction of relevant techniques and safety of opponent modeling considering the game of poker. The research showed that effective opponent modeling is indeed possible with reasonable safety and surprising effectivity in comparison with pessimistic equilibrium techniques