3 papers
cs.AI2022
Towards neoRL networks; the emergence of purposive graphs
Per R. Leikanger
The neoRL framework for purposive AI implements latent learning by emulated cognitive maps, with general value functions (GVF) expressing operant desires toward separate states. Th…
cs.AI2022
Navigating Conceptual Space; A new take on Artificial General Intelligence
Per R. Leikanger
Edward C. Tolman found reinforcement learning unsatisfactory for explaining intelligence and proposed a clear distinction between learning and behavior. Tolman's ideas on latent le…
cs.RO2021
Decomposing the Prediction Problem; Autonomous Navigation by neoRL Agents
Per R. Leikanger
Navigating the world is a fundamental ability for any living entity. Accomplishing the same degree of freedom in technology has proven to be difficult. The brain is the only known…