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

l-symbolic network is a good representation for directly storing many kinds of memory, and interfacing between those that it doesn't store directly. CogPrinte's AtomSpace is a neural-symbolic network designed to work nicely with PLN, MOSES, ECAN and the other key CogPrime cognitive processes; it supplies

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

d quite distant from the agent's current sensory observations; but it may still be formally evaluated based on the agent's history. In the standard CogPrinte notation as introduced formally in Chapter 20 (where indentation has function-argument syntax similar to that in Python, and relationship types are

, 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

this portion to the rest of the heterarchy. A rigorous mathematical analysis of the formation of hierarchical, heterarchical and dual networks in CogPrinte systems has not yet been undertaken, and would certainly be an inter- esting enterprise. Similar to the theory of small world networks, there is ampl