On Sun, Jul 9, 2023 at 3:21 PM John Rose wrote:
> On Sunday, July 09, 2023, at 2:19 PM, James Bowery wrote:
>
>
>
> Good predictors (including AIXI, other AI, and lossless compression)
> are necessarily complex...
> Two examples:
> 1. SINDy, mentioned earlier, predicts a time series of real numbe
In the spectrum of computable AIXI models, some known and some unknown,
certainly some are better than others and there must be features for favoring
those. This paper discusses some:
https://arxiv.org/abs/1805.08592
--
Artificial General Intelligence List
On Sunday, July 09, 2023, at 2:19 PM, James Bowery wrote:
>> Good predictors (including AIXI, other AI, and lossless compression)
>> are necessarily complex...
>> Two examples:
>> 1. SINDy, mentioned earlier, predicts a time series of real numbers by
>> testing against a library of different fu
On Sun, Jul 9, 2023 at 11:16 AM Matt Mahoney
wrote:
> On Sun, Jul 9, 2023 at 10:20 AM John Rose wrote:
>
> > I do wonder though what criteria would be used to discern amongst
> various computable models of AIXI assuming there is spectrum of them. I
> already have a model for that but I wonder wh
On Sun, Jul 9, 2023 at 10:20 AM John Rose wrote:
> I do wonder though what criteria would be used to discern amongst various
> computable models of AIXI assuming there is spectrum of them. I already have
> a model for that but I wonder what the specialists in the field say...
Good predictors (
On Saturday, July 08, 2023, at 2:32 PM, James Bowery wrote:
> Here's the critical difference in a nutshell:
> Shannon Information regards the first billion bits of the number Pi to be
> random. That is to say, there is no description of those bits in terms of
> Shannon Information that is short
On Wednesday, July 05, 2023, at 6:05 PM, Matt Mahoney wrote:
> In reality, we are doing much worse. We still don't understand after 40 years
> why we have an obesity and diabetes epidemic. It took almost that long to
> learn that low fat diets make you fatter, but it is more than that. We are
>
