nice!

On Jun 12, 2017 11:03, "AmeBel" <[email protected]> wrote:

> fyi http://wiki.ros.org/roslisp
>
> On Sunday, June 11, 2017 at 12:11:57 PM UTC+8, Ben Goertzel wrote:
>>
>> !!! Caveat: This post presents some speculative suggestions, not to be
>> interpreted
>>
>> as a definitive plan or mandate for work-to-be-done or anything like
>>
>> that; just as an interesting-looking directly for investigation
>>
>>
>> TL;DR — particularly for use of OpenCog in bioinformatics and other
>>
>> scientific-computing applications — but also for other applications like
>>
>> corpus linguistics where one deals with large datasets and wants to
>>
>> combine OpenCog with other command-line tools — it might be a good
>>
>> idea to replace or supplement our current Guile shell with a wrapping-up
>>
>> of OpenCog in Common Lisp … and in particular in the CLASP Common
>>
>> Lisp framework that Christian Schafmeister has developed.   This would
>>
>> also have some other smaller side-benefits like letting us exploit the CL
>>
>> bindings for Jupiter Notebooks which would be cool for OpenCog
>>
>> tutorials; and making it easy to generate LISP bindings for ROS, thus
>>
>> avoiding the need to deal with ros-py for OpenCog robotics applications…
>>
>>
>> Basic reasons are: CLASP is efficient at handling large datasets and
>>
>> piping them from one place to another.   It can also automatically
>>
>> generate bindings for C++ code, which could be used to auto-generate
>>
>> LISP bindings for ROS….
>>
>>
>> …
>>
>>
>> So I met Christian Schafmeister at an AI-nanotech workshop in Palo
>>
>> Alto late last month, and I became aware of this really cool LISP
>>
>> environment for scientific computing that he's been developing...
>>
>>
>> https://github.com/drmeister/clasp
>>
>>
>> https://github.com/drmeister/cando
>>
>>
>> https://drmeister.wordpress.com/
>>
>>
>> He has some strong arguments as to why this is a better way than R or
>>
>> python to get scientific computing done on large datasets….
>>
>>
>> One thing he found is that in many of his computational chemistry
>>
>> analysis scripts, the bulk of compute time was getting taken up
>>
>> passing around datasets and results between different C++ programs,
>>
>> in R or python or whatever other glue language was being used…
>>
>>
>> Via using Common LISP compiled into LLVM, he found this could be
>>
>> worked around, because one could then script stuff in CL but have
>>
>> efficient garbage collection done via LLVM …
>>
>>
>> My speculative line of thinking now is that it might be interesting to
>>
>>
>> -- supplement or replace Guile with Clasp as a shell for working with
>> OpenCog
>>
>>
>> -- Integrate C++ bio-analytics tools into Clasp, in a similar way to
>>
>> what Schafmeister has been doing for chem-analytics tools
>>
>>
>> — Integrate R bio-analytics tools into Clasp as well, using the following
>>
>> LLVM compiler for R
>>
>>
>> https://github.com/duncantl/RLLVMCompile
>>
>>
>> https://arxiv.org/abs/1409.3144
>>
>>
>> (although I note this compiler appears to still need a bit of work to be
>> fully
>>
>> generally usable…)
>>
>>
>> — Use the Clasp tools for automatically generating and updating LISP
>> bindings
>>
>> for C++ code, to auto-generating ROS bindings for CL
>>
>>
>> — Use the Jupyter Notebooks wrapping for CL to make Jupyter tutorials
>>
>> for OpenCog
>>
>>
>> (although, as a side note, integrating Guile with Jupyter Notebooks
>>
>> would also not be impossible ... it would just be a bunch of work,
>>
>> like any of this…)
>>
>>
>> …
>>
>>
>> I note, one can auto-convert Guile to Common Lisp using existing
>> available
>>
>> scripts, though obviously this will require some hand-checking
>> afterwards...
>>
>> For OpenCog uses of Guile that are basically just “Guile wrapping
>> Atomese”,
>>
>> auto-conversion to CL would likely work fine.  For cases where there is
>>
>> more actual programming done in Guile, more hand-adjustment of
>> conversions
>>
>> to CL would probably be necessary..
>>
>>
>> One could also emulate what Schafmeister did for C++, and auto-generate
>> CL
>>
>> bindings for R packages.  Although much of the time, the R packages are
>> just
>>
>> wrapping C++ functions; so in those cases, it might sometimes be better
>> just
>>
>> to bypass R and go straight from the underlying C++ functions to CL …
>>
>>
>> Another possibility would be to develop R-like syntax in a
>> domain-specific
>>
>> language within CL … much as we’re now developing ChatScript-like
>>
>> syntax within Guile for authoring content for the Hanson robots…
>>
>>
>> …
>>
>>
>> Anyway it is not yet clear that the above would be a great idea, and
>> obviously
>>
>> it would be a lot of work to do….  However I think that, insofar as we
>> can find
>>
>> time to consider new development directions, this is worth thinking
>> about…
>>
>>
>> — Ben
>>
>>
>> --
>> Ben Goertzel, PhD
>> http://goertzel.org
>>
>> "I am God! I am nothing, I'm play, I am freedom, I am life. I am the
>> boundary, I am the peak." -- Alexander Scriabin
>>
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