Java Program Uses Neural Networks To Monitor Games

tr0p writes "Java developers have used the open source Neuroph neural network framework to monitor video game players while they play and then provide helpful situational awareness, such as audio queues when a power-up is ready or on-the-fly macros for combo attacks. The developers have published an article describing many of the technical details of their implementation. 'There are two different types of neural networks used by DotA AutoScript. The first type is a simple binary image classifier. It uses Neuroph's "Multi-Layer Perceptron" class to model a neural network with an input neurons layer, one hidden neurons layer, and an output neurons layer. Exposing an image to the input layer neurons causes the output layer neurons to produce the probability of a match for each of the images it has been trained to identify; one trained image per output neuron.'"

Comments

Huh.

[Count Fenring]

Probably no one cares, but that's the wrong "queues" there. They mean "cues."

Neuroph look pretty cool

[physburn]

As a programmer, Neuroph looks like pretty good implement of Neural Networks, it handers most of the network types, Got built in graphic view of the output. Look nice, but which like as not, won't help, because you can rarely debug a neural network by looking at it.

I've use neural network and genetic programming a few time, in work. Its completely different to normal programming. Instead of understand a problem completely, and write a structured solution to the task. You get a network and try and train it until its output matches what you think the output should be, no programming involved.

Re:How about NO image recognition?

[happylight]

It's an external program that doesn't have access to the game's internal data structures. Basically it's a bot without hooks to the game and makes decisions solely by looking at the screen.