Epstein Secrets

, 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

hich data and procedure are explicitly identical, and there is just one new active data structure in place of the distinction between AtomSpace and MindAgents Where on this continuum does the "mere learning" end and the "real self-modification" start? In this chapter we consider some mechanisms for "adva

ilation 319 schema learning the learning of schemata carrying out cognitive processes in more specialized, context-dependent ways than the general MindAgents do. Eventually, once a CogPrime instance becomes sufficiently complex and advanced, these cognitive schema may replace the MindAgents altogether, l

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

mpilation 319 schema learning the learning of schemata carrying out cognitive processes in more specialized, context-dependent ways than the general MindAgents do. Eventually, once a CogPrime instance becomes sufficiently complex and advanced, these cognitive schema may replace the MindAgents altogether, lea

which data and procedure are explicitly identical, and there is just one new active data structure in place of the distinction between AtomSpace and MindAgents Where on this continuum does the "mere learning" end and the "real self-modification" start? In this chapter we consider some mechanisms for "advan

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

sambigua- tion that needs to be done to get the structure of the resultant Atom-set correct. Any further disambiguation is left to be done later, by MindAgents acting on the Atom-sets after they've already been placed in the AtomSpace. • In the old approach, the RelEx2Frame rules attempted, in many cases,

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

gh STI., which rapidly decreases in meet cases local workspaces bubbles of interlinked Atoms with moderate impor- tance, focused on by a subset of MindAgents (defined in Chapter 19 of Part 2) for a period of time perceptual associative memory HebbianLinks in the AT sensory memory spaceserver/timeserve

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

high STI, which rapidly decreases in most cases ocal workspaces bubbles of interlinked Atoms with moderate impor- ance, focused on by a subset of MindAgents (defined in Chapter 19 of Part 2) for a period of time perceptual associative memory |HebbianLinks in the AT sensory memory spaceserver /timeserver