Epstein Secrets

N nodes are activated and exported to the OpenCog Atomspace • Recognition that a block is present is carried out, either by - PLN inference within OpenCog, drawing the conclusion that a block is present from the exported predicates, using ImplicationLinks comprising a working definition of a "block"

ning to bridge DeSTIN and PLN Ls intended to fit. This architecture is not yet fully implemented, but is a straightforward extension of the current OpenCog architecture for processing data from game worlds IGEA08], and is scheduled for implementation later in 2013 in the course of a funded project invo

promising programs as collections of knob settings, generate new col- lections of knob settings by applying some (competent) optimization algorithm. c. Convert the new collections of knob settings into their corresponding programs, reduce the programs to normal form, evaluate their fltnesss, and integrate t

pause to briefly discuss some of the practicalities of work done with the OpenCog system currently implementing parts of the CogPrime architecture. OpenCog, the open-source software framework underlying the "OpenCogPrime" (currently partial) implementation of the CogPrime architecture, has been used for

cessful, this will provide an outstanding platform for ongoing AGI development, as well as a visually appealing and immediately meaningful demo for OpenCog. Specific, particularly simple tasks that are the focus of this project team's current work at time of writing include: • Watch another character

that makes use of the system's memory in its choices, consulting PLN inference to help estimate which collections of knob settings will work best. c. Convert the new collections of knob settings into their corresponding programs, re- duce the programs to normal form, evaluate their scores. and integrate th

the present work, it has also been used to control virtual agents in virtual worlds [GEA08]. Prototype work done during 2007-2008 involved using an OpenCog variant called the Open- PetBrain to control virtual dogs in a virtual world (see Figure 6.6 for a screenshot of an OpenPetBrain-controlled virtual d

level of capability will be achievable by simply interposing DeS- TIN (or some other system in its place) as a perception /action “black box” between OpenCog and a robot. Some preliminary experiments in this direction have already been carried out, con- necting the OpenPetBrain to a Nao robot using simpler

m that makes use of the system’s memory in its choices, consulting PLN inference to help estimate which collections of knob settings will work best. c. Convert the new collections of knob settings into their corresponding programs, re- duce the programs to normal form, evaluate their scores, and integrate th