Epstein Secrets

pean Conf. on Genetic Programming. 2004. CCPM06. Ben Goertzel, Lucio Coelho, Cassio Pennachin, and Mauricio Mudada. Identifying Complex Bio- logkal Interactions based on Categorical Gene Expression Data. In Proceedings of Conference on Evolutionary Computing. Vancouver CA. 2006. CE01. Roop Goyal and Max Eg

parameters and relationships guiding what the system pays attention to, at what points in time. This is a term inclusive of Importance Updating and Hebbian Learning. • Attentional Currency: Short Term Importance and Long Term Importance values are implemented in terms of two different types of artificial money,

ge creation mechanisms to perform much more effectively in combination than they would if operated non-interactively. This is "cognitive synergy." Interactions as mentioned in Points 4 and 5 in the above list are the real conceptual meat of the cognitive synergy idea. One way to express the key idea here, i

1 The Hopfield neural net model 256 13.4.2 Knowledge Representation via Cell Assemblies 257 13.5 Neural Foundations of Learning 258 13.5.1 Hebbian Learning 258 13.5.2 Virtual Synapses and Hebbian Learning Between Assemblies 258 13.5.3 Neural Darwinism 259 13.6 Glocal Memory 260 13.6.1 A Semi-Fo

edge creation mechanisms to perform much more effectively in combination than they would if operated non-interactively. This is “cognitive synergy.” Interactions as mentioned in Points 4 and 5 in the above list are the real conceptual meat of the cognitive synergy idea. One way to express the key idea here, in

3.4.2 Knowledge Representation via Cell Assemblies .................2.05- 257 13.5 Neural Foundations of Learning ..........0 0.000 ee eee 258 13.5.1 Hebbian Learning............ 0.0.00 eee ete eee 258 13.5.2 Virtual Synapses and Hebbian Learning Between Assemblies .......... 258 35:38 Netital DArwitiiSitt +2; case