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d tool. However, if one represents low-level procedures like this using another method, e.g. learned cell assemblies in a hierarchical network like DeSTIN, then it's very feasible to make Combo programs that invoke these low-level procedures, and encode higher-level actions like "pick up the cup in fro
ss, 2007. LNOO. George Lakoff and Rafael Nunez. Where Mathematics Comes From. Basic Books, 2000. Loo06. Moshe Looks. Competent Program Evolution. PhD Thesis, Computer Science Department, Wash- ington University, 2006. Loo07a. M. Looks. On the behavioral diversity of random programs. In Genetic and evolu
tiple layers, involving feedfor- ward and feedback dynamics, and adaptation of the links between the elements. An example deep learning algorithm is DeSTIN, which is being integrated with OpenCog for perception processing. • Defrosting: Restoring, into the RAM portion of an Atomspace, an Atom (or set t
Basic Books, 2000. Log07. Robert M. Logan. The Extended Mind. University of Toronto Press. 2007. Loo06. Moshe Looks. Competent Program Evolution. PhD Thesis, Computer Science Department, Wash- ington University, 2006. LRN87. John Laird, Paul Rosenbloom, and Alan Newell. Soar: An architecture for general
ltiple layers, involving feedfor- ward and feedback dynamics, and adaptation of the links between the elements. An example deep learning algorithm is DeSTIN, which is being integrated with OpenCog for perception processing. Defrosting: Restoring, into the RAM portion of an Atomspace, an Atom (or set ther
. Basic Books, 2000. Log07. Robert M. Logan. The Extended Mind. University of Toronto Press, 2007. Loo06. Moshe Looks. Competent Program Evolution. PhD Thesis, Computer Science Department, Wash- ington University, 2006. LRN87. John Laird, Paul Rosenbloom, and Alan Newell. Soar: An architecture for general
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