I see Ben just had a baby so he may be slow to respond. Having now read the rest of the paper beyond the abstract, it seems that the terms are explained, although it still doesn't address my earlier questions. It is an attempt to unify a number of different learning algorithms for the design of OpenCog v2, which is yet to be written. There are no experimental results, and I am not expecting any for awhile. OpenCog never did have a knowledge base or any useful applications or experimental results since the 2011 timeline forecast human level AGI in 8-10 years.
Without an accounting of past failures, I don't have any great faith that the new design will work any better than the old one. Ben seems to come up with a new design every few months. I'm not saying this to be critical because AGI is an enormously difficult problem. Just the obvious application of automating human labor would save $90 trillion per year (a price tag that paradoxically rises as we solve it). But I have to admire his persistence on a problem that is only being solved with decades of global effort. On Sat, Feb 27, 2021, 12:35 PM Jim Bromer <[email protected]> wrote: > I thought that your abstract contained terms that should have been > explained. Is your use of the term 'directed metagraph' referring to > something similar to a directed graph but which is more abstract than or is > abstracted from the more concrete graphs that would be used by the system > to reason? I had to do some searching to find out what a Galois connection > referred to but you do have the ability to guess that few in this group > would know what it meant and it would have been extremely easy to add a > brief explanation of what you were referring to. It also would be so easy > to explain what "metagraph crhonomorphisms" is supposed to mean in terms > that most of us could understand. We have to use specialized language and > we sometimes make terms up because we do not alwaze talk real goodly when > in extemporazation-put but that is all the more reason to try to make it > accessible. The more people who can understand the basic concepts the more > people who will want to look at the paper. > *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/Ta5ed5d0d0e4de96d-M66deb43b711e5afa4a5f0154> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Ta5ed5d0d0e4de96d-M05f495611f392776fc995c3a Delivery options: https://agi.topicbox.com/groups/agi/subscription
