Epstein Secrets

connecting CogPrime to a virtual world (such as Second Life, Multiverse, or Unity3D, to name sonic of the virtual world / gaming platforms to which OpenCog has already been connected in practice). EFTA00624278 132 26 Perceptual and Motor Hierarchies 26.3.1 Perceiving the Virtual World The most comp

can be used for color vision, and multi-sensory and perception-action integration. The approach presented here begins with two separate Al systems, OpenCog (introduced in Chapter 6.3) and DeSTIN (introduced in Chapter 4.3.1) - both currently implemented in open-source software. Here are the relevant fe

somewhat in the de- tails from the manner in which these things would be incorporated into a standalone DeSTIN, but pursuing the same concepts in an OpenCog integration context. What we describe here is a way to make a "Uniform DeSTIN", in which the internal repre- sentation of perceived visual forms is

routines supplied to it by an external source (e.g. another AI system such as OpenCog) 2. Utilizing one of OpenCogPrime's cognitive processes (the "Fishgram" frequent subhyper- graph mining algorithm) to recognize patterns in sets of DeSTIN states, and then recording these patterns in OpenCogPrime's Atom

HOUSE_OVERSIGHT_013240 Appendix A Glossary A.1 List of Specialized Acronyms This includes acronyms that are commonly used in discussing CogPrime, OpenCog and related ideas, plus some that occur here and there in the text for relatively ephemeral reasons. AA: Attention Allocation ADF: Automatically De

alized Terms Abduction: A general form of inference that goes from data describing something to a hypothesis that accounts for the data. Often in an OpenCog context, this refers to the PLN abduction rule, a specific First-Order PLN rule (If A implies C, and B implies C, then maybe A is B), which embodies

rations) Extension: In PLN, the extension of a node refers to the instances of the category that the node represents. In contrast is the intension. Fishgram (Frequent and Interesting Sub-hypergraph Mining): A pattern mining algorithm for identifying frequent and/or interesting sub-hypergraphs in the Atoms

igence (or any other kind of highly powerful general intelligence), the creation of novel ideas will be paramount. New idea creation takes place in OpenCog via a variety of methods - e.g. inside MOSES which creates new program trees, PLN which creates new logical relationships, ECAN which creates new a

a greedy search, so it can quickly find many patterns. In contrast, algorithms like MOSES are designed to find a small number of the best patterns. Fishgram works by finding a set of objects that have links in common, so it will be most effective if the AtomSpace has a lot of raw data, with simple patter