I’ve updated Menacing with some rather cool features. It is now rather refactored, has fine-tuned
--debug messages, an
--init mode so you don’t have to save a dumb matchbox to the same folder, and a spanking new
--train [iterations] feature that allows you to train the matchboxes using a bare-minimum intelligent computer trainer (Thanks spacecro). And it’s rather good too. A
--train 5000 for instance, produces a nearly unbeatable matchbox combo. This is at version 0.9, and almost 1-oh ready. If there are more feature requests, please mention em here.
Rather inspired by today’s Neural Networks exam, and Anoop’s amazing tutoring on the topic, I created a simple MENACE emulator in Python. Both the source and the Win executable are available below, and licensed under an MIT/Academic Free License. In other words, do anything you want with it, and try to give me credit 🙂
menacing in a console would show you a tic-tac-toe board with a player choice to make.
menacing --state shows the current state of the matchboxes.
menacing --debug shows how the program thinks as it plays the game.
menacing --train [iterations] allows you to train the matchboxes using a computer vs. computer mode.
If you download the Windows executable bundle, go to the dist folder to find
menacing.exe. It’s a console application, so you’ll have to run
cmd.exe, navigate to this folder and then execute it for maximum satisfaction. If you’re downloading the source, run
menacing --init first.
I’d love it if you post your experiences with menacing here. Thanks 🙂
How do you train it from a dumb saved matchbox? Initially play to lose (say for about 10 tries, and then play to win always, I find this to be the best method to train). Or use
--train and your work is done for you 🙂
The Windows bundle is slightly out of date as of this posting, should be resolved soon. So get the source for the latest.
Source at Github