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The Intelligent Wireless Web
A vision of the Web's near future and overviews the technologies that will make it possible, exploring developments in speech recognition, mobile wireless devices, network integration, and software development.
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Training and Memory

Still, you could just use a console and text based interaction for initial training. Then you could move to voice recognition when it works, if you have time ;)

As for forgetting stuff, my current work is leaning that way. I've got my bot learn the level, but I want it to forget parts of it when it's not been visited for a while. I'm going to have a memory class, which handles 'forgetting' when it's not recalled after a while. The more you access it, the less likely it is of forgetting. One thing that I'll have to expand upon, is the heuristic for forgetting details - so the implementation doesn't collapse due to crucial information being forgotten. Also, I'll need to rearrange the level representation based on the information forgotten.

I'm not sure how much of this is applicable to your problem, but it's something to think about.

935 posts.
Wednesday 26 December, 19:46
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Forgetting

That's a good point. For a visual memory it's probably more important to forget specific details of an image first, leaving an increasingly vague impression. That sort of system would be an efficient use of resources.

- Bob

136 posts.
Sunday 30 December, 06:53
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