For half a century, artificial intelligence researchers have focused on giving machines linguistic and mathematical-logical reasoning abilities, modeled after the classic linguist...
Hierarchies are powerful tools for decomposing complex control tasks into manageable subtasks. Several hierarchical approaches have been proposed for creating agents that can exec...
Abstract. One of the objectives of intelligent data engineering and automated learning is to develop algorithms that learn the environment, generate rules, and take possible course...
The application of autonomous agents by the provisioning and usage of computational resources is an attractive research field. Various methods and technologies in the area of arti...
Nikolay Borissov, Arun Anandasivam, Niklas Wirstr&...
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...