The revised paper is a bit better but really doesn't address my main concerns. I mean the 1% inspiration is done (Edison) and just the 99% persperation is left to do. Yeah, actually doing experiments and writing up the results is hard work, but that's how papers get published. Nobody cares about untested ideas.
Maybe write up a paper on past work like Genifer from 2010. http://strong-ai.info/blog/ai/2010/08/08/genifer-general-inference-engine Why did it fail? What lessons were learned? On Tue, Apr 30, 2019, 5:36 AM John Rose <[email protected]> wrote: > Matt > "The paper looks like a collection of random ideas with no coherent > structure or goal...." > > > > Argh... I love this style of paper whenever YKY publishes something my > eyes are on it. So few (if any) are written this way, it's a terse jazz > fusion improv of mecho-logical-mathematical thought physics needed to > describe AGI concept. > > > > Immediately on the first version when I saw the navigating the labyrinth > of "thinking" I thought of the quantum many paths simultaneity in > photosynthesis and YKY mentioning the discovery of a possible correlation > of Schrödinger and RL... but that item was yanked in the second iteration. > That's OK, sometimes while on the vanguard of thought viewers eyes must be > shielded from that which they explicitly fear the most...coincidentally > sometimes which is totally obvious thus suspending disbelief while > maintaining a referential propriety and contemporary academic > interestingness. > > > > Also yanked was the expression of the notion for the AGI requirement of > approximating K-complexity which in that I agree is where all the good > stuff is…. generally and/or specifically… IMO this where the multi-agent > consciousness mechanics come in but I’ll shield some eyes on that one :) > > > > John > > > > *From:* Stefan Reich via AGI <[email protected]> > *Sent:* Friday, April 19, 2019 4:21 PM > *To:* AGI <[email protected]> > *Subject:* Re: [agi] My AGI 2019 paper draft > > > > 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 > > *Artificial General Intelligence List <https://agi.topicbox.com/latest>* > / AGI / see discussions <https://agi.topicbox.com/groups/agi> + > participants <https://agi.topicbox.com/groups/agi/members> + delivery > options <https://agi.topicbox.com/groups/agi/subscription> Permalink > <https://agi.topicbox.com/groups/agi/T3cad55ae5144b323-M5270f3477e3d62edc3b33160> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T3cad55ae5144b323-M0b7f190106a26a4f89ca3356 Delivery options: https://agi.topicbox.com/groups/agi/subscription
