This paper describes a camera-based observation system for football games that is used for the automatic analysis of football games and reasoning about multi-agent activity. The o...
Michael Beetz, Nico von Hoyningen-Huene, Jan Bando...
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Teaching fundamental programming to freshmen is a hard task to be performed, given the high level action and logical reasoning that are required for these students to develop in a...
Cristiane Camilo Hernandez, Luciano Silva, Rafael ...
This paper describes a new agent framework that fuses an HTN planner, through its underlying conceptual model, with the mental attitudes of the BDI agent architecture, thus exploi...
Gerhard Wickler, Stephen Potter, Austin Tate, Mich...
This paper discusses the development of a methodology for reasoning about properties of security policies. We view a security policy as a special case of regulation which specifi...