Why is this at all important? 
~PM

> Subject: Re: [agi] Re: Could Brain Emulation be NP-Hard?
> From: [email protected]
> Date: Wed, 24 Jun 2015 11:41:18 -0700
> To: [email protected]
> 
> 
> > On Jun 24, 2015, at 9:39 AM, Jim Bromer <[email protected]> wrote:
> > 
> > I think Data types with no meaningful order can be difficult but it is
> > not impossible to create things like keyed (I can't remember what the
> > data structure is called) indexes and even more elaborate indexes as
> > needed. But this can become a more serious issue when you have to have
> > a lot of specialized indexes.
> 
> 
> You can do it all within a single (exotic) quasi-spatial indexing structure. 
> It is how it is done in real systems.
> 
> 
> > I can intuitively see that data types where intersection
> > and equality are not equivalent could be a problem but I am not sure
> > what you mean.
> 
> 
> Dynamic search algorithms tend to have very poor selectivity traditionally. 
> O(n) worst-case search is no way to build a scalable computing system.
> 
> 
> > Since you have derived more than one example of
> > bad-computer science thinking from relational database concepts I am
> > guessing that this has something to do with database processing. So
> > searching on a constraint can become time consuming? But that can be
> > parallelized by minor redesigns.
> 
> 
> It has nothing to do with databases, though these issues are manifest in 
> large-scale databases. Parallelization doesn’t work the way you think it does.
> 
> Let’s keep make it even simpler: please describe an indexing structure for 
> finding cube intersections that is general, parallelizable, and has constant 
> space complexity. A “minor redesign” won’t solve this problem. When it was 
> finally solved in 2007, over a quarter century had passed since anyone had 
> previously made progress on it, and I am willing to bet that you know nothing 
> about what the actual solution looks like.
> 
> 
> > Many computer scientists have thought about expressing topological
> > relationships between data objects. So it is not in itself a new idea
> > that I have never heard of or thought about before.
> 
> 
> 
> The mathematical concept has existed for half a century. A useful computer 
> science reduction of the mathematics is maybe five years old. I doubt what 
> you think you know about this idea is relevant.
> 
> 
> 
> 
> 
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