Abstract. Agent’s meta-reasoning is a computational process that implements agent’s capability to reason on a higher level about another agent or a community of agents. There i...
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
The integration of facts derived from information extraction systems into existing knowledge bases requires a system to disambiguate entity mentions in the text. This is challengi...
Mark Dredze, Paul McNamee, Delip Rao, Adam Gerber,...
— The semantics of neural networks can be analyzed mathematically as a distributed system of knowledge and as systems of possible worlds expressed in the knowledge. Learning in a...
Architectural knowledge has been recognized by the software architecture community as a self-contained research area in software architecture, and brought along some promising res...