Good review

On Fri, Apr 19, 2019, 22:02 Matt Mahoney <[email protected]> wrote:

> It would help to get your paper published if it had an experimental
> results section. How do you propose to test your system? How do you plan to
> compare the output with prior work on comparable systems? What will you
> measure? What benchmarks will you use (for example, image recognition, text
> prediction, robotic performance)?
>
> The paper looks like a collection of random ideas with no coherent
> structure or goal. The math seems to confuse or mislead rather than
> explain. For example you show father(x,y) as a function in the real plain
> rather than a predicate over discrete variables. This is interesting for a
> moment, but doesn't go anywhere, so you move on to the next topic. The
> whole paper is like this, plugging variables from one field of study into
> equations from another and hoping something useful comes out.
>
> I know that you are just full of ideas. But actually writing some code
> that does something interesting might really help in sorting out the useful
> ideas from the ones that go nowhere and advance the field of AGI.
>
> On Fri, Apr 19, 2019, 9:15 AM YKY (Yan King Yin, 甄景贤) <
> [email protected]> wrote:
>
>> Hi,
>>
>> This is my latest draft paper:
>> https://drive.google.com/open?id=12v_gMtq4GzNtu1kUn9MundMc6OEhJdS8
>>
>> I submitted the same basic idea in AGI 2016, but was rejected by some
>> rather superficial reasons.  At that time, reinforcement learning for AI
>> was not widely heard of, but since then it has become a ubiquitous hot
>> topic.  I hope this time I can get published, as it would allow me to share
>> my ideas more easily with other researchers and mathematicians so that I
>> could solicit their help and improve my theory, possibly starting the
>> coding project as well.
>>
>> Comments and suggestions are welcome 😊
>> --
>> *YKY*
>> *"The ultimate goal of mathematics is to eliminate any need for
>> intelligent thought"* -- Alfred North Whitehead
>>
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