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efta-efta00728505DOJ Data Set 9OtherSummary R&D Plan for April-July 2009
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Summary R&D Plan for April-July 2009
Novamente LLC
Ben Goertzel, Cassio Pennachin
April 10, 2009
This brief document summarizes Novamente LLC's software R&D plans for
April-July 2009. (It does not touch on any of Novamente's nor Biomind's consulting
work; nor any of Ben's theoretical "math of Al" work.)
The focus for this time period will be getting PLN (probabilistic logic), RelEx
(language comprehension), NLGen (language generation) and virtual agent control (in
the RealXTend virtual world) to work together within the OpenCogPrime (OCP) system
(built within the OpenCog framework). As a main (but not exclusive) goal we will be
seeking to demonstrate some examples of the use of embodied experience to help with
natural language disambiguation (e.g. parse selection and anaphor resolution).
At the end of this period we hope to have virtually embodied agents that can
comprehend (using RelEx) and produce (using NLGen) simple English related to the
objects and events in their virtual environment, and carry out some examples of simple
(PLN-based) reasoning based on what they experience and what they intake via language.
We are not aiming for any "human level Al" scale research breakthroughs during
this period, but rather for the integration and further maturation of existing code and
algorithms, with a view toward making an integrated platform within which dramatic
breakthroughs can later occur (after some further work is done). Nevertheless, this work
will be breaking exciting new ground, because no one has gotten inference, language and
embodiment all working together before, even to the limited extent we're seeking to do
over this time period.
Team Members
Name
Focus
Location
Time
Allocation
Ben Goertzel
Overall coordination; PLN
inference; language generation
USA
Full time
Cassio Pennachin
Overall coordination and
software architecture
Brazil
113 time
Joel Pitt
Integration of PLN and NLP
New
Zealand
2/3 time
Nil Geisweiller
PLN inference
Bulgaria
Full time
Carlos Lopes
Integration of NL generation with
OpenCogPrime
Brazil
Full Time
Welter Silva
Completion of integration of
OpenCogPrime with RealXTend
virtual world; OpenCog
framework improvements
Brazil
Full Time
Samir Araujo
Integration of NL comprehension
Brazil
Full Time
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' (RelEx) with OpenCo Prime
Murilo Queiroz
Experimenting with use of virtual
embodiment for NL
disambiguation
Brazil
Half Time
Ruiting Lian
NLP: language generation
China
Half time
Work Breakdown
Here we describe this work in slightly more detail.
Integration of NLP and OpenCogPrime software tools
We currently have software for NL comprehension (RelEx) and generation
(NLGen), but it has not been integrated with our OpenCog system for artificial cognition,
reasoning, learning, etc. It is time to finally perform this integration.
Carlos will complete the integration of RelEx (including the RelEx2Frame
component) with OpenCog, and then carry out various RelEx improvements needed to
make RelEx useful to virtually embodied agents.
Samir will integrate the NLGen language generation framework with OpenCog,
and carry out various NLGen extensions and improvements needed to make NLGen
useful to virtually embodied agents.
NL Generation Improvements
Ruiting will continue her work on natural language generation, as our NL
generation framework is not yet as mature as our NL comprehension framework. Her
work is linguistic in focus and can proceed in parallel, largely independently of Samir's
work integrating NL generation with OCP.
Initial integration of NLP and PLN
Joel will focus on using PLN to do inference on the output of RelEx's natural
language comprehension functionality. (He will be aided off and on in this by Linas
Vepstas, a Novamente employee who is using RelEx in a customer project, and may be
using PLN as well in this context.)
Murilo will focus specifically on uses of the system's virtually embodied
experience to help with natural language disambiguation
Further implementation, testing and tuning of PLN
Joel will make various improvements and extensions to the PLN framework as
needed in the course of getting language-based inference to work adequately.
A number of PLN inference rules and formulas still need to be coded, for instance
the ones handling spatial, temporal and intensional inference. Nil will code and test
these, guided by the mathematics in the "Probabilistic Logic Networks" book and the
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"Real World Reasoning" (RWR) manuscript. As well as being helpful for our overall
software project, this work will enable the completion of the examples in the RWR
manuscript, which is expected by the publisher mid-summer.
Virtual world integration improvements
Currently the OCP system is integrated with the proprietary Multiverse virtual
world platform, and partially integrated with the open-source RealXTend (Rex) virtual
world platform. There are problems with both integrations but we feel the Rex
integration is a better path forward because the open-source nature and relative simplicit
of Rex allows problems to be more straightforwardly resolved. So, Welter will focus
initially on completing the integration of OCP with Rex.
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