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HSOM (Python) / apxr_run (Erlang) too difficult to use to implement class Cns; use iris (C++), libtensorflow (C++) or produce own software neural tissue. #6

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HSOM (Python) / apxr_run (Erlang) too difficult to use to implement class Cns; use iris (C++), libtensorflow (C++) or produce own software neural tissue.#6
#67
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good first issueGood for newcomersimproveNew feature or requesttodounimplemented (but advertised) part of the tool
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Assistant with software neural tissue: `cxx/AssistantCns.*xx`:
@SwuduSusuwu

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@SwuduSusuwu
SwuduSusuwu
opened on Jun 16, 2024

This issue blocks #1

SusuLib/cxx/ClassCns.hxx

Lines 199 to 219 in 8243a6d

#ifdef USE_HSOM_CNS
typedef class HsomCns : public Cns {
/* Work-in-progress (`ClassCns.cxx` for more information): `HSOM` is simple Python-based CNS from https://github.com/CarsonScott/HSOM
* Examples of howto setup `HSOM` as artificial CNS; https://github.com/CarsonScott/HSOM/tree/master/examples
* [ https://stackoverflow.com/questions/3286448/calling-a-python-method-from-c-c-and-extracting-its-return-value ] suggests various syntaxes to use for this, with unanswered comments such as "Does this support classes?"
*/
} HsomCns;
#endif /* USE_HSOM_CNS */
#ifdef USE_APXR_CNS
typedef class ApxrCns : public Cns {
/* Work-in-progress (`ClassCns.cxx for more information): `apxr` is complex Erlang-based CNS from https://github.com/Rober-t/apxr_run/
* Examples of howto setup `apxr` as artificial CNS; https://github.com/Rober-t/apxr_run/blob/master/src/examples/
* "apxr_run" has various FLOSS neural network activation functions (absolute, average, standard deviation, sqrt, sin, tanh, log, sigmoid, cos), plus sensor functions (vector difference, quadratic, multiquadric, saturation [+D-zone], gaussian, cartesian/planar/polar distances): https://github.com/Rober-t/apxr_run/blob/master/src/lib/functions.erl
* Various FLOSS neuroplastic functions (self-modulation, Hebbian function, Oja's function): https://github.com/Rober-t/apxr_run/blob/master/src/lib/plasticity.erl
* Various FLOSS neural network input aggregator functions (dot products, product of differences, mult products): https://github.com/Rober-t/apxr_run/blob/master/src/agent_mgr/signal_aggregator.erl
* Various simulated-annealing functions for artificial neural networks (dynamic [+ random], active [+ random], current [+ random], all [+ random]): https://github.com/Rober-t/apxr_run/blob/master/src/lib/tuning_selection.erl
* Choices to evolve connections through Darwinian or Lamarkian formulas: https://github.com/Rober-t/apxr_run/blob/master/src/agent_mgr/neuron.erl
*/
} ApxrCns;
#endif /* USE_APXR_CNS */

./cxx/ClassCns.cxx:HsomCns is the deprecated Python backend (Cisco-Talos says that humans do not use Python).

SusuLib/cxx/ClassCns.cxx

Lines 81 to 91 in 8243a6d

#ifdef USE_APXR_CNS
/* Sources: `git clone https://github.com/Rober-t/apxr_run.git`
* Howto install apxr_run: `less apxr_run/README.md` or `lynx https://github.com/Rober-t/apxr_run/blob/master/README.md` */
typedef class ApxrCns : Cns {
/* TODO: https://stackoverflow.com/questions/1811516/integrating-erlang-with-c (first result for "Howto use Erlang functions from C/C++"):
* ""Port drivers: you can link a C code to the Erlang VM, and access it using port_command."" references https://www.erlang.org/doc/tutorial/c_portdriver.html , which appears to just show howto use C/C++ functions from Erlang (not vice versa)
* ""C Nodes: With the ei library you can mimic a VM and talk to your Erlang VMs using the Erlang distribution format."" references https://www.erlang.org/doc/man/ei.html , which shows some promises
* ""The closest thing I know for interfacing Erlang with C++ directly is EPAPI. Of course it relies on the tried and tested C erl_interface that comes standard with the Erlang distribution."" references https://epapi.googlecode.com/ , which returns "404 not found".
*/
} ApxrCns;
#endif /* USE_APXR_CNS */

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