Epstein Secrets

g Patterns from DeSTIN States 175 29.3.2 Probabilistic Inference on Mined Hypergraphs 176 29.3.3 Insertion of OpenCog-Learned Predicates into DeSTIN's Pattern Library 177 29.4 Multisensory Integration, and Perception-Action Integration 178 29.4.1 Perception-Action Integration 179 29.4.2 Th

nd TruthValue in doing so). The attention allocation subsystem is also pertinent to MindAgent scheduling, because it discusses dynamics that update ShortTermlmportance (STI) values associated with MindA- gents, based on the usefulness of MindAgents for achieving system goals. In this chapter, we will not enter into

e we describe in detail the strategy that would be used to integrate 129 EFTA00624276 130 26 Perceptual and Motor Hierarchies CogPrime with the DeSTIN framework for AGI perception/action (which was described in some detail in Chapter 4 of Part 1). In terms of the integrative cognitive architecture

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

spatiotemporally hier- archical deep learning system is an effective way to handle representation and learning of low-level sensorimotor knowledge. DeSTIN is one example of a deep learning system of this nature that can be effective in this context. i. One effective way to handle goals is to represent

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

c, cognitive and linguistic functions. We will achieve this via the creation and real-time utilization of links between the nodes in CogPrime's and DeSTIN's internal networks (a topic to be explored in more depth Inter in this chapter). 6.4 Memory Types and Associated Cognitive Processes in CogPrime

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