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ection • LTI: Long Term Importance • MA: MindAgent • MOSES: Meta-Optimizing Semantic Evolutionary Search • MSH: Mirror System Hypothesis • NARS: Non-Axiomatic Reasoning System • NLGen: A specific software component within OpenCog, which provides one way of dealing with Natural Language Generation • OCP: OpenCogPrime • O
, ImplicationLink, etc.) or a fuzzy value (as in MemberLink, EvaluationLink). • Strong Self-Modification: This is generally used as synonymous with Self-Modification, in a CogPrime context. • Subsymbolic: Involving processing of data using elements that have no correspondence to natural language terms, nor abst
ection • LTI: Long Term Importance • MA: MindAgent • MOSES: Meta-Optimizing Semantic Evolutionary Search • MSH: Mirror System Hypothesis • NARS: Non-Axiomatic Reasoning System • NLGen: A specific software component within OpenCog, which provides one way of dealing with Natural Language Generation • OCP: OpenCogPrime • O
cision graph looks like: Input: List L Output: List If ( P1 (L) ) N1(L) Else If ( P2 (L) ) N2 (L) Else If ( Pk (L) ) Nk(L) EFTA00624098 18.4 Self-Modification via Theorem-Proving 323 where the Pi are predicates, and the Ni are schemata corresponding to other nodes of the decision graph (children of the c
eature Selection LTI: Long Term Importance MA: MindAgent MOSES: Meta-Optimizing Semantic Evolutionary Search MSH: Mirror System Hypothesis NARS: Non-Axiomatic Reasoning System NLGen: A specific software component within OpenCog, which provides one way of dealing with Natural Language Generation OCP: OpenCogPrime OP: Oper
nt decision graphs. The decision graph leading to maximal optimization, may not be the one that leads CogPrime cognition in optimal directions. 18.4 Self-Modification via Theorem-Proving Supercompilation is a potentially very valuable tool for self-modification. If one wants to take an existing schema and graduall
Entities connected to both Non-Axiomatic Reasoning System and Self-Modification

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