Epstein Secrets

some of the properties that the above ECAN equations display when we use an ECAN defined by them as an associative memory network in the manner of a Hopfield network. We consider a situation where the ECAN is supplied with memories via a "training" phase in which one imprints it with a series of binary

orks Economic Attention Networks (ECANs) are dynamical systems based on the propagation of STI and LTI values. They are similar in many respects to Hopfield nets, but are based on a different conceptual foundation involving the propagation of amounts of (conserved) currency rather than neural-net activa

ht of the link from Atom A to Atom B is based on the probability of shared utility of A and B - economic attention allocation consists of spreading ShortTermlmportance and LongTer- mImportance "artificial currency" values (both grounded in the universal underlying "juju" currency value defined further below) betwee

th Values and Attention Values 255 13.4 Knowledge Representation via Attractor Neural Networks 256 EFTA00623773 xviii Contents 13.4.1 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 Learni

ve pattern recognition as well as static pattern recognition. Audition likely utilizes a similar hierarchy. Olfaction may use something more like a Hopfield attractor neural network, as described in Chapter 13. The networks corresponding to different sense modalities have multiple cross-linkages, more a

ines represent nodes and links in OpenCogPrimes mem- ory, and stars denote those nodes with a high level of attention (represented in OpenCog by the ShortTermlmportance node variable) at the particular point in time. In this perspective, self, free will and reflective consciousness are specific phenomena occur- ring

FTA00623877 102 5 A Generic Architecture of Human-Like Cognition touch and smell (the latter being better modeled as something like an asymmetric Hopfield net, prone to frequent chaotic dynamics ILIAV*051) - these may also cross-connect with each other and with the more hierarchical perceptual subnetw

ic truth values of the implications in CogPrime's Context A Procedure -> Good triples. However, in CogPrime this probability is not the same as the ShortTermlmportance "attention value" associated with the Implication link representing that implication. Here LIDA merges together two concepts that in CogPrime are se