Epstein Secrets

to communicate with young CogPrime systems using an invented language halfway between the human-language and programming-language domains, such as Lojban (this possibility is discussed in Appendix E). In this initial chapter on communication, we will pursue a direction quite different from the latter

died in CogPrime. Then, in Chapter ?? we present a complementary approach to linguistic interaction with AGI systems based on the invented language Lojban: and in Chapter 48 we discuss the use of CogPrime cognition to regulate the dialogue process. A typical, engineered computational NLP system involv

On the other hand, given a ConceptNode C involved in inferred ExecutionLinks of the form ExecutionLink C Ai Bi i-1, .. ,n one may wish to find a Schemallode so that the corresponding Schemallode will fulfill this same set of ExecutionLinks. It may seem surprising at first that a ConceptNode might be inv

ogue: Linguistic interaction between two or more parties. In a CogPrime context, this may be in English or another natural language, or it may be in Lojban or Psynese. • Dialogue Control: The process of determining what to say at each juncture in a dialogue. This is distinguished from the linguistic as

by the quest of figuring out which procedures can be expected to achieve a certain goal in a certain sort of context. • Grounded Schemallode: See Schemallode, Grounded. • Hebbian Learning: An aspect of Attention Allocation, centered on creating and updating HebbianLinks, which represent the simultaneous

ogue: Linguistic interaction between two or more parties. In a CogPrime context, this may be in English or another natural language, or it may be in Lojban or Psynese. • Dialogue Control: The process of determining what to say at each juncture in a dialogue. This is distinguished from the linguistic as

plementation, the system can still reason about its use of different mind dynamics by considering each MindAgent as a virtual Procedure with a real Schemallode attached to it. This can lead to some valuable learning, with the obvious limitation that in this approach the system is thinking about its MindAgen