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g and the "Siberian Madmind" Anton Kolonin, Mike Ross, Cate Hartley, Karin Verspoor and the tragically
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
Language Comprehension Co-authored with Michael Ross and Linas Vepstas and Ruiting Lian 44.1 Introduc
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
ng and the "Siberian Madmind" Anton Kolonin, Mike Ross, Cate Hartley, Karin Verspoor and the tragically
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
Entities connected to both Wilbur Ross and CLARION

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