Epstein Secrets

xive inference, which represents in connectionist architecture relations, types, entities and causal rules using focal-clusters. However, much like Hofstadter's earlier Copycat architecture lof95], Shruti seems more interesting a S a prototype exploration of ideas than as a practical AGI system; at least,

rithms carrying out separate functions, encapsulated in black boxes and communicating results with each other." For instance, PolyScheme, ACT-R and CLARION all display this "modularity" property to a significant extent. These architectures lack the rich, real-time interaction between the intents/ dynam

w several hybrid architectures in more detail, focusing most deeply on LIDA and MicroPsi which have been directly inspirational for CogPrime. 4.5.1 CLARION Ron Sun's CLARION architecture (see Figure 4.9) is interesting in its combination of symbolic and neural aspects - a combination that is used in a

s 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 explicitly studies its own derived hypergraph an

is one that may be of value for AGI generally beyond the CogPrime design, and is somewhat related to (though different in detail from) the way the CLARION cognitive architecture ISZO-il maps declarative knowledge into knowledge appropriate for its neural net layer. There is an obvious way to project C

lexive inference, which represents in connectionist architecture relations, types, entities and causal rules using focal-clusters. However, much like Hofstadter’s earlier Copycat architecture [Hof95], Shruti seems more interesting as a prototype exploration of ideas than as a practical AGI system; at least, a

intelligence will involve a combination of symbolic and non-symbolic processing.” A few of the more important hybrid cognitive architectures are: ¢ CLARION [SZ04] is a hybrid architecture that combines a symbolic component for reason- ing on “explicit knowledge” with a connectionist component for managin