Eye-tracking recordings were used to explore the choice process in playing the iterated Prisoner’s dilemma. This is a novel approach in studying the cognitive processes in game playing. The information acquisition patterns of two groups of subjects, identified on the basis of their playing behavior, were compared. The subjects from the first group paid more attention to the game payoffs and sho...

Go is a di cult game for computers to master, and the best go programs are still weaker than the average human player. Since the traditional game playing techniques have proven inadequate, new approaches to computer go need to be studied. This paper presents a new approach to learning to play go. The SANE (Symbiotic, Adaptive Neuro-Evolution) method was used to evolve networks capable of playin...

The game of Poker is an excellent test bed for studying opponent modeling methodologies applied to non-deterministic games with incomplete information. The most known Poker variant, Texas Hold'em Poker, combines simple rules with a huge amount of possible playing strategies. This paper is focused on developing algorithms for performing simple online opponent modeling in Texas Hold'em. The oppon...

Playing games is an important aspect in human life in order to develop skills or in terms of entertainment. Games also play a major role in research such as Artificial Intelligence and Robotics. In this paper we present an approach to enable the humanoid robot Nao to play a board game against a human opponent. We discuss the challenges that arise by the task of playing a board game with a human...

acceptance and commitment therapy (act) is a new development within behavioral therapy. its goal is to promote psychological flexibility. numerous studies show that suffering results when people attempt to avoid their inner experiences (experiential avoidance). this experiential avoidance often leads to rigid and inflexible behavior that also leads them to compromise their goals and what is imp...

With advances in walking abilities of autonomous soccer playing humanoid robots, the world modeling and state estimation problem moves into focus, as only sufficiently accurate and robust modeling allows to leverage improved locomotion capabilities. A novel approach for dense grid-based obstacle mapping in dynamic environments with an additional application for automatic gaze control is present...

Trans-reality role-playing games are conceived of as a form of role-playing game evolving from and integrating established table-top, live-action and computer-based role-playing forms. Each of these established forms has specific strengths and modalities for the ongoing articulation of the history of a game world regarded as an unfolding story. Integrating these forms in a trans-reality role-pl...

This paper provides a survey of previously published work on machine learning in game playing. The material is organized around a variety of problems that typically arise in game playing and that can be solved with machine learning methods. This approach, we believe, allows both, researchers in game playing to find appropriate learning techniques for helping to solve their problems as well as m...

This paper presents a novel coevolutionary model which is used to create strong game (The Virus Game) playing strategies. We use two approaches to coevolve Artificial Neural Networks (ANN) which evaluate board positions of a two player zero-sum game (The Virus Game). The first approach uses the coevolution with initial population of random ANN and second approach is a novel coevolutionary model...