In model-based control, a planner uses a system description to create a plan that achieves production goals. The same model can be used by model-based diagnosis to indirectly infe...
Lukas Kuhn, Bob Price, Minh Binh Do, Juan Liu, Ron...
As genomic and proteomic data is collected from highthroughput methods on a daily basis, subcellular components are identified and their in vitro behavior is characterized. Howev...
Salim Khan, William Gillis, Carl Schmidt, Keith De...
This paper provides a general mechanism and a solid theoretical basis for performing planning within Belief-Desire-Intention (BDI) agents. BDI agent systems have emerged as one of...
In this paper we describe the Automatic Task Demonstration Generator (ATDG), a system implemented into a software prototype for teaching the operation of a robot manipulator deplo...
Khaled Belghith, Benjamin Auder, Froduald Kabanza,...
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...