Epstein Secrets

r vast diversity, not from any single, perfect principle." This perspective was extended in the more recent work The Emotion Machine IMM071, where Minsky argued that emotions are "ways to think" evolved to handle different "problem types" that exist in the world. The brain is posited to have rule-base

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

ur vast diversity, not from any single, perfect principle.” This perspective was extended in the more recent work The Emotion Machine [Min07], where Minsky argued that emotions are “ways to think” evolved to handle different “problem types” that exist in the world. The brain is posited to have rule-based

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

r qualitative differences. It's true that an individual human mind may be viewed as a collective, both from a theory-of- cognition perspective (e.g. Minsky's "society of mind" theory IMM88I) and from a personality- psychology perspective (e.g. the theory of subpersonalities Illow901). And it's true that

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

hly specific theories of intelligence, and hence have attracted only moderate interest from researchers not adhering to those theories. An example is Minsky’s work presented in The Emotion Machine [Min07], which arguably does constitute an architecture diagram for the human mind, but which is only loosely

chematics and production rules or other similar constructs, is that in CogPrime this level of knowledge representation is not the only important one. CLARION [SZ04], as reviewed above, is an example of a cognitive architecture that uses production rules for explicit knowledge representation and then uses a