Some of the 3D reconstruction stuff being done now is quite impressive (I'm
thinking of things like photosynth, monoSLAM and Moravec's stereo vision)
and this kind of capability to take raw sensor data and turn it into useful
3D models which may then be cogitated upon would be a basic
I thought this free software opportunity might be of interest to some here.
ConceptDraw MINDMAP 4 is a mind-mapping and team brainstorming tool
with extended drawing capabilities.
Use it to efficiently organize your ideas and tasks with the help of
Mind Mapping technique. ConceptDraw MINDMAP 4
Hi Bob,
Is there a document somewhere describing what is unique about your approach?
Novamente doesn't involve real robotics right now but the design does
involve occupancy grids and probabilistic simulated robotics, so your
ideas are of some practical interest to me...
Ben
Bob Mottram
On Tue, 6 Mar 2007 09:49:47 +, Bob Mottram wrote
Some of the 3D reconstruction stuff being done now is quite impressive (I'm
thinking of things like photosynth, monoSLAM and Moravec's stereo vision) and
this kind of capability to take raw sensor data and turn it into useful 3D
models which
Well what is intelligence if not a collection of tools? One of the hardest
problems is coming up with such tools that are generalizable across domains,
but can't that just be a question of finding more tools that work well in a
computer environment, instead of just finding the ultimate
On 3/6/07, Andrew Babian [EMAIL PROTECTED] wrote:
Well what is intelligence if not a collection of tools?
To me, this widely accepted attitude towards AI is a major reason for
the lack of progress in AGI in the past decades.
A metaphor I have been using is: while computer science and the
I don't have an overview document as such, but I'm adding stuff into the
wiki as needed. Actually there is very little which is unique about my
approach. Almost all of the ideas which I'm using originated elsewhere, and
many of them have been around for 20 years or so. All I'm really doing is
Bob Mottram wrote:
I don't have an overview document as such, but I'm adding stuff into
the wiki as needed. Actually there is very little which is unique
about my approach. Almost all of the ideas which I'm using originated
elsewhere, and many of them have been around for 20 years or so.
What attracted me about the DP method was that it's less ad-hoc than
landmark based systems, but the most attractive feature is of course the
linear scaling which is really essential when dealing with large amounts of
data.
On 06/03/07, Ben Goertzel [EMAIL PROTECTED] wrote:
Thanks, this
Bob Mottram wrote:
What attracted me about the DP method was that it's less ad-hoc than
landmark based systems, but the most attractive feature is of course
the linear scaling which is really essential when dealing with large
amounts of data.
Yeah...
In other contexts, we have paid a lot
I like the idea of exploiting the biased statistics of actual changes to
the grid in real situations, in order to avoid the overhead of constantly
doing whole-grid-replacement updates... Qualitatively this seems like the
sort of thing the brain must be doing, and the kind of thing any AI
Mark Waser wrote:
I like the idea of exploiting the biased statistics of actual changes
to the grid in real situations, in order to avoid the overhead of
constantly doing whole-grid-replacement updates... Qualitatively
this seems like the sort of thing the brain must be doing, and the
kind
Mark Waser wrote:
Just polynomially expensive, I believe
Depends upon whether you're fully connected or not but yeah, yeah . . . .
Another, simpler example is indexing items via time and space: you
need to be able to submit a spatial and/or temporal region as a query
and find items relevant
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