Epstein Secrets

onal and episodic knowledge. Action Orchestrator Runs learned procedures and sends atomic actions to the virtual world to guide parrot behavior. Probabilistic Logic Networks (PIN) Generalizes. extends. combines and improves procedures learned by MOSES. Procedures learned by PLN can be sent back to MOSES to seed new le

ior Al Programmer: OpenCog Learning Co-located with Ben, focused on learning 100% 850K Junior Al Programmer: Psi Motivation Co-located with Joscha, focused on Psi/OpenCog structures and dynamics 100% MK Game Programmer / Tester 100% $45K TOTAL $360K For an 18 month project the total c

on involves a probability distribution with a mean of tv. The precise semantics of the strength values associated with OpenCog Atoms is described in Probabilistic Logic Networks (see Chapter 34). Please note, though: This notation does not imply that the only data retained in the system about the distribution is the single

ts subgoals, or spend on executing procedures) These various processes are carried out in a manner orchestrated by Domer's Psi model as refined by Joscha Bach (as reviewed in Chapter 4 above), which supplies (among other features) • a specific theory regarding what "demands" should be used to spawn the top

theory of language formed via combining ideas from three sources: Hudson's Word Grammar 11hu190, HudOiaj, Sleator and Temperley's link grammar. and Probabilistic Logic Networks. Reflecting its origin in these three sources, we have named the new theory PROWL grammar, meaning PRObabilistic Word Link Grammar. We believe PROW

knowl- edge representation 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-symboli