Epstein Secrets

. for instance, in the 19th-century philosophy of Charles Peirce IPei:341, in the writings of contempo- rary philosophers Daniel Dennett [Den91J and Douglas Hofstadter 1110179, I lo1961, in Benjamin Whorl's tj linguistic philosophy and Gregory Bateson's lam 79] systems theory of mind and nature. Bateson spoke of

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

nt, for instance, in the 19th-century philosophy of Charles Peirce [Pei34], in the writings of contempo- rary philosophers Daniel Dennett [Den91] and Douglas Hofstadter [Hof79, Hof96], in Benjamin Whorf’s [Who64] linguistic philosophy and Gregory Bateson’s [Bat79] systems theory of mind and nature. Bateson spoke of t

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 robot movement, may be supplied with a knob that can take on values corresponding to multiple possible movements. Following a metaphor suggested by Douglas Hofstadter [Hof96], MOSES learning covers both “knob twiddling” (setting the values of knobs) and “knob creation.” MOSES is invoked within CogPrime in a number

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