Authors:
Presents the hypothesis that “cognitive synergy” — proactive, mutually-assistive feedback between cognitive processes associated with different memory types — can serve as a foundation for advanced AGI, and details how it manifests in the procedural (MOSES) and declarative (PLN) learning algorithms of the OpenCogPrime architecture applied to controlling animated and robotic agents.
A core cognitive-synergy source for the PRIMUS lineage — it operationalizes the synergy principle in OpenCogPrime's procedural/declarative learning, the conceptual ancestor of PRIMUS, and is a key articulation of the cognitive-synergy hypothesis central to Hyperon's PRIMUS architecture.