Learning is perceived as a gateway to understanding the problem of intelligence. As seeing is intelligence, learning is also becoming a key to the study of artificial vision. Thus, instead of building a machine or computer program to solve a specific visual task, computer vision and pattern recognition is used to develop systems that can be trained with examples and visual tasks. Vision systems that 'learn and adapt' represent one of the most important directions in computer vision and pattern recognition research. This paper presents a learning system simulator without prior knowledge about the users in advanced. The users will play the game not against each other but to complement each other. The users will be in teams to solve game problems with strategy that may differ every time and the sitting is in virtual world.
Pattern recognition, reinforcement learning, computer vision, second life
