Thanks Jim. It's not all my own doing off course. Dr. Tom Honeycutt of NCSU mentored and guided me a lot over the past 4 years. Furthermore, science and the industry pushed the envelope quite a lot.
The theory is in no way completed to a physical level. Only experts in their distinctive fields would be able to add the 'HOW TO' function/task-level content. Some of that content does not exist in the public domain at all yet. My objective is to complete a logical specification for an AGI-services platform. As such, R&D has been focused on the design for a conceptual-to-logical specification. It's not a black-and-white approach. One develops as and when understanding is gained on any of the different themes. Not completed at all then, but the design and dev toolbox (methodologies and tools) and all the parts (concepts and models) probably are available now to start progressing on the 18-month leg of the journey (my estimate). The logical-to-physical spec should take another 24 months. Afterwards probably another 36 months of dev, before a prototype may be ready. It depends on the the size and quality of the dev team. All in all: an estimated 78 months full time. Part time: Who knows? I think there we're all in a similar boat. My primary job is to finalize a logical blueprint, then to start coloring it in with expert knowledge. Rob ________________________________ From: Jim Bromer via AGI <[email protected]> Sent: Monday, 15 October 2018 1:15 PM To: AGI Subject: Re: [agi] Compressed Algorithms that can work on compressed data Congratulations for getting your theory as far as you have. Good luck with the prototype. I am looking forward to hearing more about it. Jim Bromer On Sun, Oct 14, 2018 at 5:05 AM Nanograte Knowledge Technologies via AGI <[email protected]> wrote: > > A system of illusion management is. In my conceptual design of an > AGI-services platform exists such a component, by any other name. We could > call it a shoe for all it matters. The point is, it already exists in reality > as a generic system. > > My ever-expanding theory (which embraces all prior theory). Some of the basic > theory published, but the majority of it in private R&D, in preparation for a > proof-of-concept prototype. > > Rob > ________________________________ > From: Jim Bromer via AGI <[email protected]> > Sent: Saturday, 13 October 2018 4:12 PM > To: AGI > Subject: Re: [agi] Compressed Algorithms that can work on compressed data > > What is one of the easier components of an AGI services platform and > what theory is mature enough to enable it? > Jim Bromer > > On Sat, Oct 13, 2018 at 1:07 AM Nanograte Knowledge Technologies via > AGI <[email protected]> wrote: > > > > Disagreed. If you had the design and capability to code, there's no reason > > why such a system could not be developed. Assuming a core-systems dev > > approach was used as phase 1, all key components could be developed and > > integration tested as a proof of concept. > > > > As architect I have the design and ability to translate it into pseudo > > code, but I lack the programming skills. According to my version, this is > > one of the easier components of an AGI services platform. The theory is > > mature enough to enable this. > > > > ________________________________ > > From: Jim Bromer via AGI <[email protected]> > > Sent: Friday, 12 October 2018 8:59 PM > > To: AGI > > Subject: Re: [agi] Compressed Algorithms that can work on compressed data > > > > "which had the sole intent to achieve and maintain the > > highest-potential level of competency" > > This is obviously an exaggerated goal for anyone today and certainly > > for any of us and it is really not what I tried to describe in my last > > message. I am thinking about achievable goals, and the main problem > > that I see is that mundane necessities, like search, compare, and > > refinement of an interpretation, is a fundamental obstacle to creating > > a program that can actually acquire information by interacting in ways > > that even young children can.. > > Jim Bromer > > On Fri, Oct 12, 2018 at 2:47 PM Nanograte Knowledge Technologies via > > AGI <[email protected]> wrote: > > > > > > Agreed. According to your version of such a system, you would probably > > > run out of processing power. > > > > > > Consider Michael Shumacher, the 7-times world record holder in F1 racing. > > > It was said about him that he was so gifted, he used only 10% of his > > > brain power to drive the car, and the other 90% to plan how to win the > > > race. In other words, he was a predictive genius. > > > > > > Suppose then, 1 of the 16 levels was a generic, regenerative, > > > methodology-producing engine, which had the sole intent to achieve and > > > maintain the highest-potential level of competency in any situational > > > domain (autonomous effective complexity with least "brain > > > power"required). Suppose we viewed this as part of AGI "DNA". > > > > > > How would such a computational architecture be different to your version? > > > > > > > > > ________________________________ > > > From: Jim Bromer via AGI <[email protected]> > > > Sent: Friday, 12 October 2018 7:35 PM > > > To: AGI > > > Subject: Re: [agi] Compressed Algorithms that can work on compressed data > > > > > > The potential to create specialized data structures for AGI might have > > > a (specialized) advantage that is unlike anything that you are > > > familiar with. So these data structures would be compressed, but the > > > compression might exist at different levels or different depths. They > > > might exist at different depths because they refer to concepts (groups > > > of interrelated concepts) that existed at different conceptual levels > > > of 'resolution'. For example, there are distinctions between > > > particulars and generalizations but there are also differences between > > > general subject matter and vaguely understood references. Also there > > > could be different levels of (effective) compression based on > > > different kinds of relationships between concepts. For another example > > > of how these computable references might be used, in some cases they > > > will try to come up with specifics given some situation but in other > > > cases they might come up with possible variations of what might be > > > relevant to a situation and come up with some possibilities about how > > > the program might react to find more information. > > > There is only one thing wrong with this plan. It would be too slow - > > > unless these reactions could be computed quickly and efficiently. If > > > an artificial system of storing concepts was designed to efficiently > > > produce results that could be used to design and shape interactions > > > with the user, the program might get enough information to be able to > > > figure out how to interpret what was being said.Jim Bromer > > > > > > On Fri, Oct 12, 2018 at 9:28 AM Nanograte Knowledge Technologies via > > > AGI <[email protected]> wrote: > > > > > > > > I think, for your AGI ideas, you'll require a Symbolism Management > > > > subsystem. But first, answer the question: > > > > "What is Jim's version of AGI Symbolism Management?" > > > > > > > > As a case in point, what you thus might call 'Symbolism Management', I > > > > might just call 'Illusion Management'. > > > > > > > > In my mind, my system would potentially cope with up to 16, real-time > > > > integrated levels of abstraction. Furthermore, this has potential to > > > > open the door for access to the magical 256 NP-Complete findings. > > > > > > > > Rob > > > > ________________________________ > > > > From: Jim Bromer via AGI <[email protected]> > > > > Sent: Friday, 12 October 2018 11:27 AM > > > > To: AGI > > > > Subject: Re: [agi] Compressed Algorithms that can work on compressed > > > > data. > > > > > > > > The idea of relative randomness of a given compression is kind of > > > > interesting. > > > > There are some compressions which may be transformed without fully > > > > decompressing it. In fact LZ, if I understand correctly, uses what has > > > > already been compressed to append a next section to be compressed. And > > > > computational mathematics, using n-ary or base n representation, is > > > > actually a case of applying functions on compressed data. And most > > > > data base functions which use one part of many data records to compute > > > > some value are examples of effectively using compressed data without > > > > fully decompressing it. (The one part of the data that is being used > > > > is an abstraction of a transaction for instance.) > > > > I am really thinking about specialized fields of data. And I do have > > > > an idea for AGI in which data may be stored in various levels of > > > > compression. Ideas may refer to a subject matter (or subjects) in > > > > various levels of resolution which can also overlap other concepts in > > > > various ways. I am almost sure that I could make this work for some > > > > artificial data (or artificial formations of references) and then use > > > > it to make successive computations of how concepts might interact. But > > > > right now I I nterested in seeing if there is any way I can use any of > > > > these ideas to create a novel way to represent logical relations. > > > > Jim Bromer > > > > > > > > On Fri, Oct 12, 2018 at 4:59 AM Andrés Gómez Emilsson via AGI > > > > <[email protected]> wrote: > > > > > > > > > > If the algorithm for compression is good then forget about it. In > > > > > that case the best (and near only) way is to uncompress the file and > > > > > then re-compress it with the new, more effective algorithm. > > > > > > > > > > On Thu, Oct 11, 2018 at 10:53 PM Nanograte Knowledge Technologies via > > > > > AGI <[email protected]> wrote: > > > > >> > > > > >> A discussion centered around pseudo randomness. > > > > >> > > > > >> As a private experiment on randomness, I once took published data of > > > > >> cosmic noise and tabled it in an appropriate way. Within less than > > > > >> 54 iterations, emerged a consistent, embedded pattern. My conclusion > > > > >> was that cosmic noise was pseudo random. Would my experiment destroy > > > > >> the lava-lamp theory of true randomness? Possibly. > > > > >> > > > > >> Recently, someone quoted Gell Mann. His established view on > > > > >> randomness is most enlightening. > > > > >> > > > > >> As far as I can tell, true randomness cannot be observed, because > > > > >> the instant it is observed the energy of observation destroys the > > > > >> purity (or truth) thereof. Unless you're a remote viewer, or > > > > >> supernatural observer it would seem that science has fallen foul of > > > > >> its own need for empirical evidence. Solve the problem: How does one > > > > >> observe without observing at all? > > > > >> > > > > >> Matt, I think you have earned an olive branch in that within a > > > > >> bridging, scientific theory (Existentialism) you may call any thing > > > > >> whatever you want, for as long as you have it clearly objectified; > > > > >> defined in terms of meaningfulness and applied in a consistent, > > > > >> semantic manner. I think the prior statement contains a hidden key. > > > > >> > > > > >> If so, then you may rely on the probability of your accepted version > > > > >> of that thing. Further, to ensure it would remain correct and > > > > >> complete within your particular system. How do you do that? > > > > >> > > > > >> Still, easy to translate across boundaries as well. > > > > >> > > > > >> *One's shoe may be another's steak. That is the nature of true > > > > >> relativity in motion. > > > > >> > > > > >> Rob > > > > >> ________________________________ > > > > >> From: Jim Bromer via AGI <[email protected]> > > > > >> Sent: Friday, 12 October 2018 3:34 AM > > > > >> To: AGI > > > > >> Subject: Re: [agi] Compressed Algorithms that can work on compressed > > > > >> data. > > > > >> > > > > >> Matt said, "A string is random if there is no shorter description of > > > > >> the string." > > > > >> > > > > >> That is a conjecture, or a hypothesis. > > > > >> > > > > >> Matt said, "... but there is no general algorithm to distinguish > > > > >> them in any > > > > >> language. > > > > >> "Encrypted data appears random if you don't know the key. But it is > > > > >> not > > > > >> random because it has a short description (compressed plaintext + > > > > >> key). Kolmogorov proved that there is no general algorithm to tell > > > > >> the > > > > >> difference." > > > > >> > > > > >> if there is no general algorithm to distinguish or detect them then > > > > >> the hypothesis cannot be validated. While you might present a string > > > > >> and declare it to be "random" the fact that you cannot prove that it > > > > >> is the shortest description of the string and therefore purely > > > > >> random, > > > > >> or random, then the conjecture cannot be sustained. > > > > >> Jim Bromer > > > > >> On Thu, Oct 11, 2018 at 1:37 PM Matt Mahoney via AGI > > > > >> <[email protected]> wrote: > > > > >> > > > > > >> > On Thu, Oct 11, 2018 at 12:38 PM John Rose > > > > >> > <[email protected]> wrote: > > > > >> > > OK, what then is between a compression agents perspective (or > > > > >> > > any agent for that matter) and randomness? Including shades of > > > > >> > > randomness to relatively "pure" randomness. > > > > >> > > > > > >> > A string is random if there is no shorter description of the > > > > >> > string. > > > > >> > Obviously this depends on which language you use to write > > > > >> > descriptions. Formally, a description is a program that outputs the > > > > >> > string. There are no "shades" of randomness. A string is random or > > > > >> > not, but there is no general algorithm to distinguish them in any > > > > >> > language. If there were, then AIXI and thus general intelligence > > > > >> > would > > > > >> > be computable. > > > > >> > > > > > >> > > From an information theoretic (and thermodynamic) viewpoint in > > > > >> > > your mind what happens when you see the symbol for infinity? > > > > >> > > Semi-quantitatively describe the thought processes? > > > > >> > > > > > >> > The same thing that happens when you see any other symbols like > > > > >> > "2" or > > > > >> > "+". Mathematics is the art of discovering rules for manipulating > > > > >> > symbols that help us make real world predictions. > > > > >> > > > > > >> > -- > > > > >> > -- Matt Mahoney, [email protected] > > > > > > > > > > > > > > > > > > > > -- > > > > > Andrés Leonardo Gómez Emilsson > > > > > Sentient Being (or Consciousness Narrative Stream, depending on how > > > > > you want to look at it) > > > > > Artificial General Intelligence List / AGI / see discussions + > > > > > participants + delivery options Permalink > > > > Artificial General Intelligence List / AGI / see discussions + > > > > participants + delivery options Permalink > > > Artificial General Intelligence List / AGI / see discussions + > > > participants + delivery options Permalink > > Artificial General Intelligence List / AGI / see discussions + participants > > + delivery options Permalink > Artificial General Intelligence List / AGI / see discussions + participants + > delivery options Permalink ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T4629b4e0158d34e1-M907c7226c669f400446c98e5 Delivery options: https://agi.topicbox.com/groups/agi/subscription
