Epstein Secrets

ssible to make AGI on digital computers. While we suspect this is correct, we must note that it isn’t proven. It might be that — as Penrose [Pen96], Hameroff [Mam87] and others have argued — we need quantum computers or quantum gravity computers to make AGI. However, there is no evidence of this at this st

sists of the wealthiest nodes and links. Figures 3.3 and 3.4 illustrate the existence and flow of attentional focus in OpenCog. On the other hand, in Hameroff’s recent model of the brain [Ham10], the brain’s moving bubble of attention is achieved through dendro-dendritic connections and the emergent dendrit

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

sts of the wealthiest nodes and links. Figures 3.3 and 3.4 illustrate the existence and flow of attentional focus in OpenCog. On the other hand, in Hameroff's recent model of the brain 'Hamill], the brain's moving bubble of attention is achieved through dendro-dendritic connections and the emergent dendr

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

ulation of the human mind. Development and Learning, International Conf. on, 0, 2002. AGBD+08. Derek Abbott, Julio Gea-Banacloche, Paul C W Davies, Stuart Hameroff, Anton Zeilinger, lens Eisert, Howard M. Wiseman, Sergey M. Bezrukov, and Hans Frauenfelder. Plenary debate: quan- tum effects in biologetrivial or

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

mulation of the human mind. Development and Learning, International Conf. on, 0, 2002. AGBDt08. Derek Abbott, Julio Gea-Banacloche, Paul C W Davies, Stuart Hameroff, Anton Zeilinger, Jens Eisert, Howard M. Wiseman, Sergey M. Bezrukov, and Hans Frauenfelder. Plenary debate: quan- tum effects in biology?trivial or

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