AERA
Updated 593 days ago
AERA enables the creation of agents that get increasingly better at behaving in underspecified circumstances, in a goal-directed way, on the job, by modeling themselves and their environment, as their experience accumulates. Based on principles of autocatalysis, endogeny, and reflectivity, AERA is an architectural blueprint for constructing systems with high levels of operational autonomy, starting from only a small amount of designer-specified code - a seed. Using a value-driven dynamic priority scheduling to control the parallel execution of a vast number of lines of reasoning, the system accumulates increasingly useful models of its experience, resulting in recursive self-improvement that can be autonomously sustained after the machine leaves the lab, within the boundaries imposed by its designers... AERA is based on our novel methodological principles for addressing the shortcomings mentioned in the Introduction above, a new constructivist AI approach (CAIM) defined by Dr...