https://github.com/catseye/animals

An implementation in Erlang of the classic game which demonstrates an "expert system"
https://github.com/catseye/animals

classic-game computer-game expert-system machine-learning retrogaming

Last synced: 5 months ago
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An implementation in Erlang of the classic game which demonstrates an "expert system"

• Host: GitHub
• URL: https://github.com/catseye/animals
• Owner: catseye
• License: unlicense
• Archived: true
• Created: 2012-08-25T19:20:37.000Z (about 13 years ago)
• Default Branch: master
• Last Pushed: 2014-08-19T13:30:18.000Z (about 11 years ago)
• Last Synced: 2025-03-05T05:15:38.313Z (7 months ago)
• Topics: classic-game, computer-game, expert-system, machine-learning, retrogaming
• Language: Erlang
• Homepage: http://catseye.tc/node/Animals
• Size: 148 KB
• Stars: 1
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.markdown

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README

          
Animals

=======

This is Cat's Eye Technologies' distribution of the classic computer

game of Animals, which demonstrates an "expert system".  This version

is written in Erlang.

Description

-----------

This game stores a 'knowledge tree' about the animals it knows in a

nested tuple structure.  This is mainly to demonstrate how one can work

with binary trees as Erlang terms.  A more serious implementation would

probably use a real database system, such as Mnesia.

License

-------

This work is in the public domain.  See the file `UNLICENSE` for more

information.

Running

-------

To build the `animals` module, run the script `make.sh` from the root

directory of the distribution.

After the module has been built, the game can be played by running the

script `animals` in the `bin` directory.  This script can be run from

anywhere; it knows to locate the module and the data files in the

distribution directory.