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enough, in the sense that they lack sufficiently rich and nuanced interactions EFTA00623805 30 2 Wh
ts xix 18 Advanced Self-Modification: A Possible Path to Superhuman AGI 317 18.1 Introduction 317 18.2 Cognitive Schema Learning 318 18.3 Self-Modification via Supercompilation 319 18.3.1 Three Aspects of Supercompilation 321 18.3.2 Supercompilation for Goal-Directed Program Modification 322 18.4 Self-Modification
twork, in which a hierarchy exists, along with a rich network of heterarchical links joining nodes in t
set of cognitive tools, however, is to create better cognitive tools. One form this sort of tool-building may take is cognitive EFTA00624094 18.3 Self-Modification via Supercompilation 319 schema learning the learning of schemata carrying out cognitive processes in more specialized, context-dependent ways than the general MindAge
enough, in the sense that they lack sufficiently rich and nuanced interactions HOUSE_OVERSIGHT_012945
OAWEtIOH, «205 ses emtes Cees ENNOE LE SMES MEME SEMS SERS EME!s dees ems 317 18.2 Cognitive Schema Learning .......... 0.000 e cee eee eens 318 18.3 Self-Modification via Supercompilation ..............0..00 000 cee eee 319 18.3.1 Three Aspects of Supercompilation .............0..00 000022 eee eee ee 321 18.3.2 Supercompilation for Go
etwork, in which a hierarchy exists, along with a rich network of heterarchical links joining nodes in t
in this approach the system is thinking about its MindAgents as black boxes rather than being equipped with full knowledge of their internals. 18.3 Self-Modification via Supercompilation Now we turn to a very different form of advanced self-modification: supercompilation. Super- compilation "merely" enables procedures to run much, mu
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