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Build with Linux

Check you can use lboost_system. If not, probably you can install it with

$ sudo apt-get install libboost-all-dev

Run following in "ai_src" directory.

$ make -f Makefile_Linux

You will see libai.so in root directory.

Then run following in root directory

$ make -f Makefile_Linux

Then you will see system.exe in root directory.

Build with Windows

Check you can link lboost_system, and rewrite LIBS of Makefile(both in ai_src and root directory). In the environment of the author, "-lboost_system-mgw62-mt-x64-1_70" is valid.

Check the number of logical processors of your machine and rewrite NPROCS value of ai_src/Makefile. You can check the number by

> $cs = Get-WmiObject -class Win32_ComputerSystem; $cs.numberoflogicalprocessors

Then run following in "ai_src" directory.

> make

You will see ai.dll in root directory.

Next, run following in root directory.

> make

Then you will see system.exe in root directory.

Selfmatch

Selfmatch will be executed by following command

./system.exe test "begin(int)" "end(int)"

Self-matches will be executed with random seed of begin to end - 1. Game record will be saved in a directory specified by "result_dir" of setup_match.json. Chicha of self-matches are those specified in "chicha" of setup_match.json. For example, when begin=100, end=102 and "chicha" is [0, 1], following 4 mathces will be executed.

random seed = 100, chicha = 0
random seed = 100, chicha = 1
random seed = 101, chicha = 0
random seed = 101, chicha = 1

This is efficient when you want to update AI strategy and play against previous version. Tactics of each player can be set with "tactics" of setup_match.json.

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Artificial Intelligence for Japanese mahjong

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