Epstein Secrets

nt funding is for natural language dialogue, and I >> believe that by the end of 2015 we can get an interesting NL dialogue >> system created using OpenCog -- and connected to David Hanson's >> robots, which will be a very effective demo. I don't think this is >> as scientifically profound as the virtu

it will be based on >> underlying reasoning and understanding. » EFTA00709554 >> As you know, since I am associated with the sponsorship of the OpenCog >> HK grant at HK Poly U, I can't be funded under that grant. However, >> I am very very eager to be able to spend my own time on AGI R&D once >>

tools that Joscha and I have built over the last years), and >> > aim to scientifically validate our approach (a subset of OpenCog, >> > including OpenPsi which is modeled on Joscha' Psi/MicroPsi model and >> > which Joscha would like to help evolve further) in the context of a >>> virtual animal....

the core of the CogPrime Artificial General Intelligence design, an integrative cognitive architecture that is partially implemented in the current OpenCog software system. The proposed project would explore and attempt to validate the cognitive synergy hypothesis, via utilizing the OpenCog system to co

the current OpenCog software system. The proposed project would explore and attempt to validate the cognitive synergy hypothesis, via utilizing the OpenCog system to control a virtual parrot in a game world, and studying how the parrot performs on virtual-world implementations of various "animal-level

reinforcement learning mode, to learn small programs that will guide the virtual parrot in achieving its goals (where its goals are managed via the OpenPsi motivational system inside OpenCog, loosely inspired by Joscha Bach's MicroPsi system). • Use of ECAN to learn associational relationships between

the core of the CogPrime Artificial General Intelligence design, an integrative cognitive architecture that is partially implemented in the current OpenCog software system. The proposed project would explore and attempt to validate the cognitive synergy hypothesis, via utilizing the OpenCog system to co

the current OpenCog software system. The proposed project would explore and attempt to validate the cognitive synergy hypothesis, via utilizing the OpenCog system to control a virtual parrot in a game world, and studying how the parrot performs on virtual-world implementations of various "animal-level

reinforcement learning mode, to learn small programs that will guide the virtual parrot in achieving its goals (where its goals are managed via the OpenPsi motivational system inside OpenCog, loosely inspired by Joscha Bach's MicroPsi system). • Use of ECAN to learn associational relationships between

HK grant funding is for natural language dialogue, and I believe that by the end of 2015 we can get an interesting NL dialogue system created using OpenCog -- and connected to David Hanson's robots, which will be a very effective demo. I don't think this is as scientifically profound as the virtual-ani

g on some of the > powerful tools that Joscha and I have built over the last years), and > aim to scientifically validate our approach (a subset of OpenCog, > including OpenPsi which is modeled on Joscha' Psi/MicroPsi model and > which Joscha would like to help evolve further) in the context of a > vi

werful tools that Joscha and I have built over the last years), and > aim to scientifically validate our approach (a subset of OpenCog, > including OpenPsi which is modeled on Joscha' Psi/MicroPsi model and > which Joscha would like to help evolve further) in the context of a > virtual animal.... Speci

k for Natural Language Comprehension Now we move forward in the pipeline from syntax toward semantics. The NL comprehension framework provided with OpenCog at its inception in 2008 is RelEx, an English-language se- mantic relationship extractor, which consists of two main components: the dependency extra

rammar terms, this corresponds loosely to (S (NP The cat) (VP chased (NP a snake)) EFTA00624530 384 44 Natural Language Comprehension but the OpenCog linguistic pipeline makes scant use of this kind of phrase structure rendition (which is fine in this simple example; but in the case of complex sen

chActSchema and SpeechActTriggers) corresponding to fine-grained types of speech act • Dialogue control guided by general cognitive control system (OpenPsi, running within Open Cog) • SpeechActSchema and SpeechActTriggers, in some cases, will internally consult proba- bilistic inference, thus supplying

his nature that can be effective in this context We have not yet done any sophisticated experiments in this regard - our current experiments using OpenCog to control robots involve cruder integration of OpenCog with perceptual and motor subsystems, rather than the tight hybridization described in Chapt

obabilistic evolutionary program learn- Mg is an effective method The probabilistic evolutionary program learning method we have worked with most in OpenCog is MOSES, and significant evidence has been gathered showing it to be dramatically more effective than genetic programming on relevant classes of p

cessing. • Defrosting: Restoring, into the RAM portion of an Atomspace, an Atom (or set thereof) previously saved to disk. • Demand: In CogPrime's OpenPsi subsystem, this term is used in a manner inherited from the Psi model of motivated action. A Demand in this context is a quantity whose value the s

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 recognizes patterns in the hierarchies and passes them to the Atomspace; and imprints patterns from the Atomspace on the hierarchies); and also OpenPsi, a special dynam- ical framework for choosing actions based on motivations. Above the Atomspace we have a host of cognitive processes, which act on

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

(that recognizes patterns in the hierarchies and passes them to the Atomspace; and imprints patterns from the Atomspace on the hierarchies); and also OpenPsi, a special dynam- ical framework for choosing actions based on motivations. Above the Atomspace we have a host of cognitive processes, which act on t

lding on some of the powerful tools that Joscha and I have built over the last years), and aim to scientifically validate our approach (a subset of OpenCog, including OpenPsi which is modeled on Joscha' Psi/MicroPsi model and which Joscha would like to help evolve further) in the context of a virtual

powerful tools that Joscha and I have built over the last years), and aim to scientifically validate our approach (a subset of OpenCog, including OpenPsi which is modeled on Joscha' Psi/MicroPsi model and which Joscha would like to help evolve further) in the context of a virtual animal.... Specifica