I agree not to put too much effort into this:  it is better to let them spend 
their capital first.
George

On 5 Jan 2013, at 23:47, Peter Bienstman wrote:

> I wouldn't put too much effort in this, it's not even sure that the patent is 
> granted, and Mnemosyne existed long before the patent was filed.
> 
> Cheers,
> 
> Peter
> 
> Quoting George Wade <[email protected]>:
> 
>> It may be worth getting together with SM to do a pre-emptive strike on the 
>> claim:  all or part of it ?
>> George
>> 
>> On 4 Jan 2013, at 23:05, Peter Bienstman wrote:
>> 
>>> I'm not too worried, there's plenty of prior art. Besides, they haven't 
>>> sued me yet :-)
>>> 
>>> Peter
>>> 
>>> Quoting Gnome <[email protected]>:
>>> 
>>>> Looks like it. Is the patent approved? It can't be right because it's an
>>>> idea that has been around for very long.
>>>> 
>>>> On Friday, January 4, 2013 7:27:51 PM UTC+1, gwern branwen wrote:
>>>>> 
>>>>> http://www.freepatentsonline.com/y2012/0322043.html "ADAPTIVELY-SPACED
>>>>> REPETITION LEARNING SYSTEM AND METHOD"
>>>>> 
>>>>> > An adaptively-spaced repetition learning system and method facilitate
>>>>> the learning of material over time through the presentation of the 
>>>>> material
>>>>> at ever-increasing intervals. Embodiments of the system and method present
>>>>> a stimulus-response pair to a student to obtain a binary response that is
>>>>> either correct or incorrect. The token is next presented to the student
>>>>> based on the student's response. If the response is correct, then the 
>>>>> token
>>>>> is presented to the student based on the initial repetition interval
>>>>> without modification. If the response is incorrect, then the learnedness
>>>>> value is reset and the progression through the repetition intervals is
>>>>> restarted. In some embodiments, the initial repetition intervals are
>>>>> dynamically adjusted based on the student's response to obtain revised
>>>>> repetition intervals. This is achieved by manipulating the exponent of the
>>>>> mathematical term representing the curve of the repetition intervals.
>>>>> 
>>>>> --
>>>>> gwern
>>>>> http://www.gwern.net
>> 
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> 
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