The purpose of this research is to study how genetic algorithms (GA's) are applied in the field of Game Theory. GA's are effective approaches for machine learning and optimization problems. In this work, genetic algorithm is utilized to determine the behavior of an opponent in Prisoners’ Dilemma. The opponent behavior will be modeled by means of adaptive automaton. The basic problem of this stu...

Opponent modelling is an important issue in games programming today. Programs which do not perform opponent modelling are unlikely to take full advantage of the mistakes made by an opponent. Additionally, programs which do not adapt over time become less of a challenge to players, causing these players to lose interest. While opponent modelling can be a difficult challenge in perfect informatio...

I characterize backward induction in an epistemic model of perfect information games where players have common certain belief of the consistency of preferences rather than the rationality of choice. In this approach, backward induction corresponds to common certain belief of ‘belief in each subgame of opponent rationality’. At an interpretative level this result resembles the one established by...

The middle temporal area of the extrastriate visual cortex (area MT) is integral to motion perception and is thought to play a key role in the perceptual learning of motion tasks. We have previously found, however, that perceptual learning of a motion discrimination task is possible even when the training stimulus contains locally balanced, motion opponent signals that putatively suppress the r...

For an agent to be successful in interacting against many different and unknown types of opponents it should excel at learning fast a model of the opponent and adapt online to non-stationary (changing) strategies. Recent works have tackled this problem by continuously learning models of the opponent while checking for switches in the opponent strategy. However, these approaches fail to use a pr...

The point light walker (PLW) has been taken to demonstrate the existence of mechanisms specialised in the processing of biological motion, but the roles of form and motion information in such processing remain unclear. While processing is robust to distortion and exclusion of the local motion signals of the individual elements of the PLW, the motion relationships between the elements - referred...

To play a game well a player needs to understand the game. To defeat an opponent, it may be sufficient to understand the opponent’s weak spots and to be able to exploit them. In human practice, both elements (knowing the game and knowing the opponent) play an important role. This article focuses on opponent modelling independent of any game. So, the domain of interest is a collection of two-per...

Game-theoretic approaches have been proposed for addressing the complex problem of assigning limited security resources to protect a critical set of targets. However, many of the standard assumptions fail to address human adversaries who security forces will likely face. To address this challenge, previous research has attempted to integrate models of human decision-making into the game-theoret...