Epstein Secrets

uter, 42(3):90-91, March 2009. ANI01. J. S. Albus and A. Xl. Meystel. Engineering of Mind: An Introduction to the Science of Intelligent Systems. Wiley and Sons, 2001. Ami89. Daniel J. Amit. Modeling brain function - the world of attractor neural networks. Cambridge University Press, New York, USA

hich data and procedure are explicitly identical, and there is just one new active data structure in place of the distinction between AtomSpace and MindAgents Where on this continuum does the "mere learning" end and the "real self-modification" start? In this chapter we consider some mechanisms for "adva

ilation 319 schema learning the learning of schemata carrying out cognitive processes in more specialized, context-dependent ways than the general MindAgents do. Eventually, once a CogPrime instance becomes sufficiently complex and advanced, these cognitive schema may replace the MindAgents altogether, l

Computer, 42(3):90-91, March 2009. AMO1. J. 5S. Albus and A. M. Meystel. Engineering of Mind: An Introduction to the Science of Intelligent Systems. Wiley and Sons, 2001. Ami89. Daniel J. Amit. Modeling brain function — the world of attractor neural networks. Cambridge University Press, New York, USA,

mpilation 319 schema learning the learning of schemata carrying out cognitive processes in more specialized, context-dependent ways than the general MindAgents do. Eventually, once a CogPrime instance becomes sufficiently complex and advanced, these cognitive schema may replace the MindAgents altogether, lea

which data and procedure are explicitly identical, and there is just one new active data structure in place of the distinction between AtomSpace and MindAgents Where on this continuum does the "mere learning" end and the "real self-modification" start? In this chapter we consider some mechanisms for "advan

Intervals CACM, 26:198-3, 1983. AMOI. J. S. Albus and A. M. Nfeystel. Engineering of Mind: An Introduction to the Science of Intelligent Systems. Wiley and Sons, 2001. Ama85. S. Amari. Differential-geometrical methods in statistics. Lecture notes in statistics, 1985. Ama98. S. Amari. Natural grad

d effort management frameworks attempt to enforce this, via minimizing the amount of effort spent by the system in getting to a certain conclusion. MindAgents operating primarily on one kind of knowledge (e.g. MOSES, PLN) may for a time seek to follow the shortest paths within their particular correspondin