Vision and hearing... And? On Fri, Aug 2, 2019 at 11:58 PM Secretary of Trades < [email protected]> wrote:
> Vision and hearing. > > > On 02.08.2019 04:12, Mohammadreza Alidoust wrote: > > Thank you. I really enjoy and appreciate your comments. > > > > There is no universal problem solver. So for the purpose of building a > > real AGI, how many problems should our model be able to solve? How big > > is our problem space? > > > > > > On Thu, Aug 1, 2019, 8:22 AM Matt Mahoney <[email protected] > > <mailto:[email protected]>> wrote: > > > > The human brain cannot solve every problem. There is no > > requirement for AGI to do so either. Hutter and Legg proved that > > there is no such thing as a universal problem solver or predictor. > > > > It feels like you could solve any problem given enough effort, but > > that is an illusion. In reality you can't read a 20 digit number > > and recite it back. The human brain is good at solving problems > > that improve reproductive fitness, and that's only because it is > > very complex with thousands of specialized structures and a > > billion bits of inherited knowledge. > > > > On Wed, Jul 31, 2019, 10:58 PM Mohammadreza Alidoust > > <[email protected] <mailto:[email protected]>> wrote: > > > > I may not call the model "a reinforcement learning neural > > network", because nothing is going to be reinforced there. I > > would rather call it "model based decision making" where the > > model of the world will be incrementally completed and more > > accurate, which then helps in better decision making. > > > > The model is in its early stages and must be tested in heavier > > tasks like the ones you mentioned. However, I believe that AGI > > is an infinite problem-space and a real AGI must be able to > > solve everything. This requires further implementations, > > modifications, time, teamwork, financial support, etc. > > > > On Thu, Aug 1, 2019 at 1:34 AM Matt Mahoney > > <[email protected] <mailto:[email protected]>> > wrote: > > > > Not understanding the math is the reader's problem. It is > > necessary to describe the theory and the experiments and > > shouldn't be omitted. > > > > The paper describes 3 phases of training a reinforcement > > learning neural network. The first phase is experimenting > > with random actions. The next two phases choose the action > > estimated to maximize reward. They differ in that they use > > explicit and then implicit memory, although the paper > > didn't explain these or other details of the learner. > > > > I like that the paper has an experimental results section, > > which most papers on AGI lack. But I think calling it a > > "AGI brain" is a stretch. It learns in highly abstract > > models of chemical manufacturing or cattle grazing. It > > doesn't demonstrate actual AGI or solve any major > > components like language or vision. > > > > On Wed, Jul 31, 2019, 8:01 AM Manuel Korfmann > > <[email protected] <mailto:[email protected]>> wrote: > > > > I guess he meant: It’s difficult to understand all > > these mathematical equations. Visualizations are > > better at transporting ideas in a way that almost > > everyone can understand easily. > > > >> On 31. Jul 2019, at 13:46, Mohammadreza Alidoust > >> <[email protected] > >> <mailto:[email protected]>> wrote: > >> > >> Thank you for reading my paper. I wish you success too. > >> > >> Could you please explain more about the readership? I > >> am afraid I did not get the point. > >> > >> Best regards, > >> Mohammadreza Alidoust > >> > >> > >> On Tue, Jul 30, 2019, 2:14 PM Stefan Reich via AGI > >> <[email protected] <mailto:[email protected]>> > >> wrote: > >> > >> If someone paid me to go, I'd go... :-) > >> > >> > http://agi-conf.org/2019/wp-content/uploads/2019/07/paper_21.pdf > >> > >> I like the stages you define in your paper > >> (infancy, decision making, expert). Sounds > >> reasonable. > >> > >> I pretty much erased mathematical formulas from > >> my brain though, even though I have studied those > >> things. These days I prefer to think in natural > >> language or code. Increases the readership > >> exponentially too. :-) > >> > >> Many greetings and best wishes to you > >> > >> > >> On Tue, 30 Jul 2019 at 02:13, Mohammadreza > >> Alidoust <[email protected] > >> <mailto:[email protected]>> wrote: > >> > >> Dear Stefan Reich, > >> > >> Thank you. I do not know whether submitting > >> my paper before official publication by > >> Springer is against their copyrights or not. > >> I am not sure about their rules. I will ask > >> the authorities when I arrived Shenzhen and > >> inform you. > >> > >> However I recommend not to miss the AGI-19. > >> http://agi-conf.org/2019/ > >> > >> > >> Best regards, > >> Mohammadreza Alidoust > >> > >> > >> > >> -- > >> Stefan Reich > >> BotCompany.de <http://BotCompany.de> // > >> Java-based operating systems > >> > > > > *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/Tf27122c71ce3b240-Mc82055636d6abd2a8d971995 > > > > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Tf27122c71ce3b240-M5381a7ff4717f20607fa1916 Delivery options: https://agi.topicbox.com/groups/agi/subscription
