Ben, could you please send me a free author's copy of the paper at http://ieeexplore.ieee.org/document/6889662/ . Ed Porter
On Thu, Jul 27, 2017 at 12:44 AM, Nanograte Knowledge Technologies < [email protected]> wrote: > Ben > > Conceptually, I like where you are going with this. Your team's work with > human-language-based robotic communication is astounding. > > I think your idea of a universal attractor has merit. I suppose, in the > end, when matter exists, it generates an elcetro-magnetic field. In a > genetic sense, the flux of such a field would act as an open and > closed-loop communications network. In this sense, the relevant data, > information, and a relative perspective of knowledge, would all be packaged > within relative, genomic code. In other words, we are imagining a relative > system of relative systems from which reality would functionally emerge. > > Given my systems methodology, what remains to be done in order to > visualize a model of human-like machine reasoning, is to be able to link > your "attractor" value to the information, from which it should become > possible to systematically emerge any informational concept at any level of > abstraction within any, dimension of reasoning. The genetics of resultant > information would in theory make forward and backchaining possible, and > much more. > > The completeness schema of functional, attractor values seems to be a > critical machine-reasoning component to pursue. It would probably also > assume the role of a priority systems constraint. I've been doing much > thinking about this as a next-step for my own research. > > I think you've got this. Keep up the great work. > > Rob > > ------------------------------ > *From:* Ben Goertzel <[email protected]> > *Sent:* 27 July 2017 04:57 AM > *To:* AGI > *Subject:* Re: [agi] Neuroscience-Inspired AI > > > Well I would say that none of the work done at Deep Mind and also none of > the ideas in Demis etc.'s paper address the questions I raised in this paper > > http://ieeexplore.ieee.org/document/6889662/ > How might the brain represent complex symbolic knowledge? - IEEE Xplore > Document <http://ieeexplore.ieee.org/document/6889662/> > ieeexplore.ieee.org > A novel category of theories is proposed, providing a potential > explanation for the representation of complex knowledge in the human (and, > more generally, > > > (sorry for the paywall ... use sci-hub.cc ...) > > So there is no real plan for how to achieve abstract symbolic reasoning as > needed for human level general intelligence within a purely formal-NN type > approach > > > Obviously in opencog we are taking more of a symbolic-neural approach so > we don't have issues with abstraction > > Also if you look at the recent Markram et al paper on algebraic topology > and mesoscopic brain structure, there is nothing in the Hassabis etc. > universe that seems to address how such structures would be learned or > would emerge > > > > But sure in a big-picture historical sense the progress happening these > days on "narrow AI verging toward AGI" and on "making complex cognitive > architectures finally do stuff" is super exciting. We are on the verge of > multiple breakthroughs within the next few years. Woo hoo !! > > - -Ben > > > On Thu, Jul 27, 2017 at 5:55 AM, EdFromNH . <[email protected]> wrote: > >> About the above linked Hassabis paper, Ben said, "It's sort of a high >> level inspirational paper... it does lay down pretty clearly what sort of >> thinking and approach Deep Mind is likely to be taking in the next years >> ... there are no big surprises here though as this has been Demis's >> approach, bias and interest all along, right?" >> >> From my knowledge of several articles and videos by, or about, Hassabis -- >> I totally agree. But I am a little less ho-hum than Ben, perhaps because >> I'm not as up on the current state of AGI as Ben. >> >> Reading Hassabis's paper makes me bullish about how close we are to >> powerful, if not fully human-level AGI, within 5 years. >> >> Why? Because all of the unsolved challenges Hassabis discusses seem like >> they could be easily solved if enough engineering and programming talent >> was thrown at them. I feel like I could relatively easily -- within a >> few months -- weave plausible high level architectural descriptions for >> solving all of these problems, as, presumably, people like Demis and Ben >> could do even better. (Perhaps that is why Ben is so ho-hum about the >> paper.) With the money that's being thrown into AGI, and the much greater >> ease of doing cognitive architectural experiments made possible with Neural >> Turing Machines -- which allow programmable, modular plug-and-play with >> pre-designed and pre-trained neural net modules -- the world is going to >> get weird fast. >> >> Tell me why I am wrong. >> >> On Sun, Jul 23, 2017 at 8:29 PM, Ed Pell <[email protected]> wrote: >> >>> https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467749/ >>> >>> >>> On 7/23/2017 4:18 PM, Giacomo Spigler wrote: >>> >>>> >>>> An Approximation of the Error Backpropagation >>>> Algorithm in a Predictive Coding Network >>>> with Local Hebbian Synaptic Plasticity >>>> >>> >>> >>> >>> ------------------------------------------- >>> AGI >>> Archives: https://www.listbox.com/member/archive/303/=now >>> RSS Feed: https://www.listbox.com/member/archive/rss/303/8630185-a57a7 >>> 4e1 >>> Modify Your Subscription: https://www.listbox.com/member/?&; >>> Powered by Listbox: http://www.listbox.com >>> >> >> *AGI* | Archives <https://www.listbox.com/member/archive/303/=now> >> <https://www.listbox.com/member/archive/rss/303/19237892-5029d625> | >> Modify <https://www.listbox.com/member/?&;> Your Subscription >> <http://www.listbox.com> >> > > > > -- > Ben Goertzel, PhD > http://goertzel.org > > "I am God! I am nothing, I'm play, I am freedom, I am life. I am the > boundary, I am the peak." -- Alexander Scriabin > *AGI* | Archives <https://www.listbox.com/member/archive/303/=now> > <https://www.listbox.com/member/archive/rss/303/26941503-0abb15dc> | > Modify <https://www.listbox.com/member/?&;> Your Subscription > <http://www.listbox.com> > > *AGI* | Archives <https://www.listbox.com/member/archive/303/=now> > <https://www.listbox.com/member/archive/rss/303/8630185-a57a74e1> | Modify > <https://www.listbox.com/member/?&;> > Your Subscription <http://www.listbox.com> > ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
