Epstein Secrets

e we describe in detail the strategy that would be used to integrate 129 EFTA00624276 130 26 Perceptual and Motor Hierarchies CogPrime with the DeSTIN framework for AGI perception/action (which was described in some detail in Chapter 4 of Part 1). In terms of the integrative cognitive architecture

ti-participant virtual environment (like the Multiverse environment EFTA00624280 134 26 Perceptual and Motor Hierarchies currently used with the PetBrain) or a small-scale robot simulator. Our experiments with virtual worlds so far have used the high-level approach described here; but we are also expe

front of the robot, via pinching it between two fingers and then lifting it. In this case, • The visual scene, including the block, is perceived by DeSTIN; and appropriate patterns in various DeSTIN nodes are formed • Predicates corresponding to the distribution of patterns among DeSTIN nodes are acti

C teaching protocol is to give a brief snippet from a script that was created to guide the actual training of the virtual animals controlled by the PetBrain. This snippet involves only I and It; the C will be discussed afterwards. This snippet demonstrates a teaching methodology that involves two avatar

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

le Experiments with Embodiment and Anaphor Resolution Now we turn to some fairly simple practical work that was done in 2008 with the OpenCog-based PetBrain software, involving the use of virtually embodied experience to help with interpretation of linguistic utterances. This work has been superseded som

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

n used to control virtual agents in virtual worlds IGEA081. 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 dog). While these OpenCog virtual

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

en 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 dog). While these OpenCog virtual d