lp:~xiaohui/opencog/moses

Created by xiaohui and last modified

MOSES is the cognitive plugin of Opencog Framework, and it plays an important role in the Opencog. The hBOA is used to generate the promising programs as optimal algorithm in MOSES. But it is not the optimal one in this context. Therefore, to improving the efficiency of the optimal algorithm in MOSES is very important and meaningful. The BBHC and simulated annealing algorithm are suitable to be integrated into the MOSES. These integration work would make MOSES better and smarter.

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Branch information

Owner:
xiaohui
Project:
OpenCog
Status:
Merged

Recent revisions

3263. By xiaohui

forgot commited files

3262. By xiaohui

-some output are added for debug
-add one test for vary_n_knobs

3261. By xiaohui

- modified the generate_contin_neighbor and added some comments

3260. By xiaohui

- fix the bug of sample_from_neighborhood
- fix the bug of get_num_before_stop

3259. By xiaohui

whoops, forget file

3258. By xiaohui

-add a function to get the number of Left and Right before the Stop
 of contin spec
-modified the optimization.h to fit this function in eda/field_set.h

3257. By xiaohui

-add the test case for build_spec
-modified the test case for sampling_from_neighborhood

3256. By xiaohui

changed the opencog::cassert to OC_ASSERT

3255. By xiaohui

add two unit test for testing contin type neighborhood sampling
add some output for debuging

3254. By xiaohui

add the contin type to sample_from_neighborhood

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