Epstein Secrets

t 344 41.6 PredicateNode Mining 345 41.7 Learning Schema Maps 346 41.7.1 Goal-Directed Schema Evolution 347 41.8 Occam's Razor 349 42 Map Formation 351 42.1 Introduction 351 42.2 Map Encapsulation 353 42.3 Atom and Predicate Activity Tables 355 42.4 Mining the AtomSpace for Maps 3

han using a Handle based notation which Atoms would be referred to as 1, 3433322, etc.; but sometimes we will use the Handle notation as well. Some ConceptNodes and conceptual PredicateNode or Schemallodes may correspond with human-language words or phrases like cat, bite, and so forth. This will be the mino

is, the process by which the mind recognizes patterns in itself, and then embodies these patterns as new content within 351 EFTA00624498 352 42 Map Formation itself - an instance of what Hofstadter famously labeled a "strange loop" 'Hurl. In SMEPH terms, the encapsulation process is how CogPrime explicit

y, there may be patterns across large numbers of nodes that merit encapsulation in individual nodes. For instance, if there are 1000 fairly similar ConceptNodes, it may be better not to merge them all together, but rather to create a single node to which they all link, reifying the category that they collect

olidation Forgetting / Fkeezing / Defrosting Long-Term and Working Memory no correlate: a function not necessarily possessed by the human mind Map Formation Long-Term Memory Concept Formation and Pattern Mining Attention Allocation Long-Term and Working Memory Hebbian/Attentional Learning Attentio

Knowledge in the Atomspace. A simple example of implicit knowledge in the Atomspace. The "chicken" and "food" concepts are represented by "maps" of ConceptNodes interconnected by HebbianLinks, where the latter tend to form between Con- ceptNodes that are often simultaneously important. The bundle of links bet