Epstein Secrets

onal and episodic knowledge. Action Orchestrator Runs learned procedures and sends atomic actions to the virtual world to guide parrot behavior. Probabilistic Logic Networks (PIN) Generalizes. extends. combines and improves procedures learned by MOSES. Procedures learned by PLN can be sent back to MOSES to seed new le

emory to interact intimately, in a way that allows them to help each other squelch combinatorial explosions. This hypothesis lies at the core of the CogPrime Artificial General Intelligence design, an integrative cognitive architecture that is partially implemented in the current OpenCog software system.

on involves a probability distribution with a mean of tv. The precise semantics of the strength values associated with OpenCog Atoms is described in Probabilistic Logic Networks (see Chapter 34). Please note, though: This notation does not imply that the only data retained in the system about the distribution is the single

, dealing with with a variety of general conceptual issues related to the engineering of advanced AGI, as well as presenting a brief overview of the CogPrime design for Artificial General Intelligence. Now here in Part 2 we plunge deep into the nitty-gritty, and describe the multiple aspects of the CogPr

oing something (perhaps something in the physical world, or perhaps an abstract mental action). The key SMEPH Edge types, using language drawn from Probabilistic Logic Networks (PLN) and elaborated in Chapter 34 below, are as follows: • ExtensionallnheritanceEdge (ExtInhEdge for short: an edge which, linking one Vertex or

what this "tuning" should involve - namely, making a system possessing mind-state sequences that correspond meaningfully to world-state sequences. CogPrime's overall design and particular cognitive processes are reasonably well interpreted as an attempt to achieve this for everyday human goals and envir

doing something (perhaps something in the physical world, or perhaps an abstract mental action). The key SMEPH Edge types, using language drawn from Probabilistic Logic Networks (PLN) and elaborated in Chapter 34 below, are as follows: e ExtensionalInheritanceEdge (ExtInhEdge for short: an edge which, linking one Vertex or E

ut what this "tuning" should involve — namely, making a system possessing mind-state sequences that correspond meaningfully to world-state sequences. CogPrime’s overall design and particular cognitive processes are reasonably well interpreted as an attempt to achieve this for everyday human goals and enviro