The MicroPsi architecture combines neuro-symbolic representations with autonomous decision making and motivation based learning. MicroPsi’s motivational system reflects cognitive...
General reinforcement learning is a powerful framework for artificial intelligence that has seen much theoretical progress since introduced fifteen years ago. We have previously ...
Self-improving software has been a goal of computer scientists since the founding of the field of Artificial Intelligence. In this work we analyze limits on computation which might...
Abstract. Aligning goals of superintelligent machines with human values is one of the ways to pursue safety in AGI systems. To achieve this, it is first necessary to learn what hu...
The intelligence of multiagent systems is known to depend on the communication and observation abilities of its agents. However it is not clear which factor has the greater influe...
Nader Chmait, David L. Dowe, David G. Green, Yuan-...