This paper briefly describes a scalable architecture for implementing autonomous agents that act in a virtual world created for a computer game and must interact with it by suitabl...
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
The main focus in the area of action languages, such as GOLOG, was put on expressive power, while the development in the area of action planning was focused on efficient plan gen...
In agent theory and agent programming, goals constitute the motivational attitude of rational agents and form the key concept in explaining and generating their pro-active behavior...
Nick A. M. Tinnemeier, Mehdi Dastani, John-Jules C...
The use of the Plan Recognition/Plan Generation paradigm in the context of corporate training is discussed. The learning environment is grounded on three-level conceptual schemas ...