[agi] Semi-amusing Novamente machinima

2007-03-17 Thread Ben Goertzel
Hi all, This doesn't really showcase Novamente's learning ability very much -- it's basically a smoke test of the integration of Novamente probabilistic learning with the AGISim sim world -- an integration which we've had sorta working for a while but has had a lot of kinks needing

Re: [agi] Semi-amusing Novamente machinima

2007-03-17 Thread Bob Mottram
It's difficult to judge how impressive or otherwise such demos are, since it would be easy to produce an animation of this kind with trivial programming. What are we really seeing here? How much does the baby AGI know about fetching before it plays the game, and how much does it need to learn?

Re: [agi] Semi-amusing Novamente machinima

2007-03-17 Thread Kevin Peterson
On 3/17/07, Ben Goertzel [EMAIL PROTECTED] wrote: This doesn't really showcase Novamente's learning ability very much -- it's basically a smoke test of the integration of Novamente probabilistic learning with the AGISim sim world -- an integration which we've had sorta working for a while but

Re: [agi] Semi-amusing Novamente machinima

2007-03-17 Thread J. Storrs Hall, PhD.
What's the size of the space NM is searching for this plan? If you rewarded it for, say, regularities in arithmetic, starting with set theory, how long would it take it to come up with, say, Goldbach's conjecture? Josh On Saturday 17 March 2007 16:05, Ben Goertzel wrote: Hi all, This

Re: [agi] Semi-amusing Novamente machinima

2007-03-17 Thread Ben Goertzel
Bob Mottram wrote: It's difficult to judge how impressive or otherwise such demos are, since it would be easy to produce an animation of this kind with trivial programming. What are we really seeing here? How much does the baby AGI know about fetching before it plays the game, and how

Re: [agi] Semi-amusing Novamente machinima

2007-03-17 Thread Ben Goertzel
What's the size of the space NM is searching for this plan? Well that really depends on how you count things One way to calculate it would be to look at the number of trees with 15 nodes, with say 20 possibilities at each node. Because in practice the plans it comes up with, with