OK, trying again. Maybe the third time it will work right.

-- Linas

On Tue, Mar 13, 2018 at 12:04 AM, Linas Vepstas <linasveps...@gmail.com> wrote:
> Resending. My email agent is formatting and indenting bizarrely.
> I don't understand why its 2018 and something as simple as email
> has ugly and unreliable formating.  Is this what the heat death of
> the universe looks like?
>
> --linas
>
> On Mon, Mar 12, 2018 at 11:55 PM, Linas Vepstas <linasveps...@gmail.com> 
> wrote:
>> Hi,
>>
>> To repeat my earlier remarks, and add a few more:
>>
>> On Mon, Mar 12, 2018 at 3:42 PM, Alexey Potapov <pas.a...@gmail.com> wrote:
>>>
>>> Yes. But Pattern Matcher compares all pairs of bounding boxes making it
>>> quadratic.
>
>> Yes, there is supposed to be a space-server that is supposed to be optimized
>> for these kinds of searches. There is one, but its super-minimal, and not at 
>> all
>> integrated with the pattern matcher, or anything else for that matter.  Smart
>> searches on bounding boxes is completely green-field development, for the
>> atomspace. We've kind of got very nearly nothing for this.
>
>
>>>> Yes, but keep in mind that the PM is also Turing complete because you can
>>>> call any function within a query (including the PM itself).
>>>
>>>
>>> This is quite problematic. Basic processes should not execute anything
>>> dangerous that can take too much time or loop forever and cannot be
>>> interrupted. Thus, we should either not treat PM as a basic process, or
>>> should restrict its capabilities (and shift responsibility for evaluating
>>> arbitrary code to other processes).
>
>
>> This is misleading or a mis-understanding. Its not the correct way to think
>> about it.  The current pattern matcher is 2 or three or 4 things matched into
>> one:
>>
>> A) A generic subgraph isomorphism solver. Since this is an NP complete
>> problem, it's certainly possible to create pathologically slow queries.
>>
>> B) A way of combining subgraphs using a crisp-logic boolean algebra
>> (actually a Heyting algebra) which we have very vague intentions of
>> promoting into something probabilistic.  Which, of course, if this was done,
>> would layer on an additional combinatoric explosion.  It would be fruitful to
>> discuss the wisdom or stupidity of this particular task. Or alternative 
>> designs
>> for it.
>>
>> C) The ability to perform subgraph isomorphism with so-called "axiom 
>> schemata".
>> An "axiom schemata" is roughly an infinite collection of relations, for 
>> example
>> "less than" over the integers or rationals or reals.   This means that the 
>> pattern
>> matcher is kind-of-like-ish a "satisfiability modulo theories" (SMT) solver. 
>>  The
>> API for specifying a theory at this point is rather very simplistic. The 
>> "virtual link"
>> is  that API. It says, basically "implement your model theory here, as C++ 
>> code,
>> and we will automatically do the satisfiability modulo your theory for you"
>>
>> Currently supported theories are the equational theory (EqualLink) and 
>> numeric
>> inequaltiy (GreaterThanLink)  An example of a nice-to-have theory would be
>> linear algebra - done right, this could  solve your space-time bounding box 
>> problem
>> for starters, and linear programming type problems if anyone cared about 
>> that.
>> Maybe matroids. Whatever. Dunno.  Another nice-to-have would be naive set 
>> theory
>> which could help lay a cornerstone of probability done right (TM) but this 
>> would be
>> a long and difficult but veryinteresting discussion.
>>
>> D) Once a matching subgraph is found, you can launch arbitrary 
>> C++/scheme/python
>> code to do something with that subgraph. So that's unbounded.
>
>
>>>> So, the first thing you should do is build a good benchmark tool, then we,
>>>> you and the rest of opencog community, can supply it with a collection of
>>>> critical tests.
>>>
>>> How do you see such tool?
>
>> Unclear. I am interested in a tool that tells me if performance got worse 
>> after
>> a particular code change or bug fix.  Some of our fixes accidentally slow 
>> things
>> down (by a lot) and no one noticies for months or half a year.
>
>>> We have some datasets of varying sizes and
>>> queries, and simply run PM on these queries and measure the time. What can
>>> be unified/automated?
>
>> Yes!?
>
>>> Running all tests and writing log files with
>>> computation times? Anything else?
>
>> I don't care about log files.
>
>>> I agree that we need several (many?) tests to be sure that some changes
>>> didn't affect any types of queries, but isn't it just a script? Or do you
>>> have something much more complicated in mind?
>
>> Take a look at 3D graphics performance: there are two types of benchmark:
>> triangles per second, lines per second, texture maps per second.
>
>> The other type is "for game XYZ, frames per second".
>
>> We need both types of benchmarks.  Probably the first more than the second,
>> because it helps developers more.  The second kind just tells you how screwed
>> up the system is today, without telling you why, or where to look.
>
>
>>> In our case, the query processing time becomes unrealistically large for a
>>> one-minute video.  If we consider the problem of search in the entire
>>> episodic memory, it should be even not linear, but logarithmic. Low degree
>>> polynomial complexity is ok for the task dimensions ~1000, not millions or
>>> billions...
>
>> No clue what you are searching here.  Logarithmic searches mean binary tree,
>> quad-tree, octree.  The space-time sever is an octree, but its not 
>> integrated with
>> the pattern matcher, and has a super-naive API.
>
>
>> We have binary-trees and hash tables for atoms-by-name, by-type, but zero
>> sophistication for numeric values. See above comments about "satisfiability
>> modulo theories".
>
>
>> Linas
>>
>>
>> --
>> cassette tapes - analog TV - film cameras - you
>
>
>
> --
> cassette tapes - analog TV - film cameras - you



-- 
cassette tapes - analog TV - film cameras - you

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