Epstein Secrets

esentation in order to do their cognitive work. Toward this end we have come to a similar conclusion to some other researchers (e.g. Joscha Bach and Stan Franklin), and con- cluded that given the strengths and weaknesses of current and near-future digital computers, a (loosely) neural-symbolic network is a goo

nderstanding or generation. A CogPrime approach to speech would be quite feasible to develop, for instance using neural-symbolic hybridization with DeSTIN or a similar perceptual-motor hierarchy. However, this potential aspect of CogPrime has not been pursued in detail yet, and we won't devote space to

d drives, and would then develop complex cognitive capabilities as part of this development process. 4.5.7 LIDA The LIDA architecture developed by Stan Franklin and his colleagues [13F09] is based on the concept of the "cognitive cycle" - a notion that is important to nearly every BICA (Biologically Inspire

c, cognitive and linguistic functions. We will achieve this via the creation and real-time utilization of links between the nodes in CogPrime's and DeSTIN's internal networks (a topic to be explored in more depth Inter in this chapter). 6.4 Memory Types and Associated Cognitive Processes in CogPrime

, 2003. BP71. J. D. Bransford and J. Franks. The abstraction of linguistic ideas. Cognitive Psychology, 2:331-350, 1971. BF09. Bernard Bears and Stan Franklin. Consciousness is computational: The lida model of global workspace theory. International Journal of Machine Consciousness., 2009. bGBK02. 1. Goer

tiple layers, involving feedfor- ward and feedback dynamics, and adaptation of the links between the elements. An example deep learning algorithm is DeSTIN, which is being integrated with OpenCog for perception processing. • Defrosting: Restoring, into the RAM portion of an Atomspace, an Atom (or set t

nd drives, and would then develop complex cognitive capabilities as part of this development process. 4.5.7 LIDA The LIDA architecture developed by Stan Franklin and his colleagues [BF 09] is based on the concept of the “cognitive cycle” - a notion that is important to nearly every BICA (Biologically Inspired

ric, cognitive and linguistic functions. We will achieve this via the creation and real-time utilization of links between the nodes in CogPrime’s and DeSTIN’s internal networks (a topic to be explored in more depth later in this chapter). 6.4 Memory Types and Associated Cognitive Processes in CogPrime N

ry, 2003. BF71. J. D. Bransford and J. Franks. The abstraction of linguistic ideas. Cognitive Psychology, 2:331—-350, 1971. BFO9. Bernard Baars and Stan Franklin. Consciousness is computational: The lida model of global workspace theory. International Journal of Machine Consciousness., 2009. bGBKO2. 1. Goert

ltiple layers, involving feedfor- ward and feedback dynamics, and adaptation of the links between the elements. An example deep learning algorithm is DeSTIN, which is being integrated with OpenCog for perception processing. Defrosting: Restoring, into the RAM portion of an Atomspace, an Atom (or set ther