Is anybody works on opencog android port (using NDK I think for lower source
code adaptation) or can help on in this theme ?
I'm thinking about some graph rewrite engine I can experiment on my smartphone,
binded with some sensors (accellerometer, gps, gsm).
Tge first app is some personal
fix:
> cd external-tools/glimpse ; npm install ; npm start
>
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Are there any instruction exists to jumpstart into working opencog in
docker ?
Something like
docker run -d opencog-dev
git clone --depth=1 https://github.com/opencog/external-tools.git
cd external-tools ; npm start
browser -tabs http://localhost:9000 https://github.com/opencog/tutorial/
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Is https://github.com/opencog/docker fresh enought for current development
state ?
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Is any prebuild docker images with opencog ready ?
Who works on making images (github links) ?
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I have this like problem, try do decrease make -j N -- I have i7 system
but too low RAM available (6Gb) for full make -j8, su
-j4 works ok
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Try to use my Makefile script: https://github.com/ponyatov/cog
I've got core systemn build but have some problems with configuration.
For default BUILD use
make PREFIX=/usr/local packages cogutils atomspace opencog
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Fixed some problems on opencog build using sed patching:
CWD = $(CURDIR)
PREFIX = $(CWD)
PREFIXX = $(subst /,\/,${PREFIX})
cmake src/opencog
# fix build files
sed -i 's/\/usr\/local/$${CMAKE_INSTALL_PREFIX}/g' build/opencog/nlp/
sentiment/cmake_install.cmake
# build & install
make && make
>
> From my understanding, much of the development of OpenCog was done
> with the assumption that all development work is to be done with a
> specific version of Ubuntu.
Strange decision: opencog seems more or less to be embeddable into
robotic-like platforms, so is it better to use some
error in opencog/build/opencog/nlp/sentiment/cmake_install.cmake file
generation:
/usr/local/etc must be replaced by ${CMAKE_INSTALL_PREFIX}/etc
what source file should I fix to do it ?
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make install
-- Up-to-date: /home/ponyatov/opencog/share/opencog/scm/opencog/nlp/
processing-utils.scm
-- Up-to-date: /home/ponyatov/opencog/share/opencog/scm/opencog/nlp/
sentiment.scm
-- Up-to-date: /home/ponyatov/opencog/lib/python2.7/dist-packages/sentiment/
basic_sentiment_analysis.py
CMake
I'm working on build scripts for opencog: https://github.com/ponyatov/cog
cogutils & atomspace build ok (it is tiny selfcontaining packages)
but have problem configuring opencog core itself:
I use modern cmake version built from sources (stable Debian has some
anility)
rm -rf opencog/build ;
Is opencog has some module for parsing and source code transforming
and static analysis ?
I'd like to have some tool able to process typycal Linux source package,
and extract info on dependencies between used function signatures,
#defines, source/object files, and configure options (for
In other words, there is no opencog* package maintainer able to track
Debian progress and follow all official packaging requirements.
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Imprssive paper on hypergraph software representation:
http://kobrix.com/documents/rse.pdf
[Borislav Iordanov] Rapid Software Evolution
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>
> but I am not pursuing this path because I want object-oriented code - the
> generated code should be of industrial quality.
>
I see Prolog-derivatives as implementation of backtracking reasoner on top
of hypergraph knowledge base -- prolog rules look like exclusively
hypergraph beast.
I see odbc-postgresql & postgresql-client @
https://github.com/opencog/ocpkg/blob/master/debian/install-debian-dependencies.sh
I'm surprised why pgsql used ?
opencog nature tends to use some noSQL graph databases like neo4j
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Is OpenCOG and GBKR & Conceptual Graphs is fully equivalent (so opencog is
GBKR system implementation) ?
I try to google opencog + gbkr and surprizely don't find any links, but
this approaches look fully equivalent .
https://en.wikipedia.org/wiki/Conceptual_graph
Chein, Michel; Mugnier,
Is opencog suitable for automated code generation ?
I'm searching in some AI technologies which can be applied in
transformational programming, especially in automated code generation:
synthsize programs code in mainstream languages like C(++), Java, JS,...
basing on declarative highlevel
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