Hi

2009/7/8 JOHN VOIKLIS <voiklis at gmail.com>:
> Thanks for the advice. You are right that I need something general and
> not opaque.
>
> I should clarify for everyone that, as an experimental psychologist, I
> am only interested in machine learning for the purposes of mimicking
> human behavior (including all its failings).
>

An interesting machine learning technique in that purpose is NARS

http://nars.wang.googlepages.com/
http://code.google.com/p/open-nars/

I started to port the java prototype:
http://www.squeaksource.com/NARSqueak.html

hth,


> I don't need anything fast or optimized, just functional and transparent.
>
> 2009/7/8 Herbert König <herbertkoenig at gmx.net>:
>> Hello JOHN,
>>
>> WJV> that, even in Squeak, I am better at hacking and repurposing other
>> JV> people's code than at creating something entirely new. So, I am
>> JV> writing to learn if anyone has implemented any neural net models in
>> JV> Squeak and, if so, would those people be willing to share any such
>> JV> implementation.
>>
>> right now I'm too lazy to search but there is a fann library binding
>> for Squeak and Luciano Notarfrancesco has implemented neural nets in
>> Squeak and I myself dabbled in neural nets.
>>
>> What I use (commercially) is only a SOFM and I did my implementations
>> using FloatArrays for speed. This is not good for "repurposing" as
>> it's not general and implementation is obscured to accommodate
>> FloatArray.
>>
>> I can share parts of my implementation, the other ones could be found
>> on the net.
>>
>> Cheers,
>>
>> Herbert                            mailto:herbertkoenig at gmx.net
>>
>>
>>
>
>



-- 
Cédrick