ABSTRACT
ABSTRACT A high-level artificial general intelligence (AGI) architecture called goal-oriented learning meta-architecture (GOLEM) is presented, along with an informal but careful argument that GOLEM may be capable of preserving its initial goals while radically improving its general intelligence. As a meta-architecture, GOLEM can be wrapped around a variety of different base-level AGI systems, and also has a role for a powerful narrow-AI subcomponent as a probability estimator. The motivation underlying these ideas is the desire to create AGI systems fulfilling the multiple criteria of being massively and self-improvingly intelligent, probably beneficial, and almost surely not destructive.
