RE: HM.applications-Profiling-Level of Details/Abstraction

["Bullard, Claude L (Len)" <clbullar@ingr.com>]

Matching glue in many systems like this is done 
by matching.  For example, in the SOAR System, 
something like this (abstracted from 

"Why Is a Raven Like a Writing Desk?"
Lessons in Interface Consistency and Analogical Reasoning from Two Cognitive
Architectures
John Rieman*, Clayton Lewis*, Richard M. Young , and Peter G. Polson*
*Institute of Cognitive Science
University of Colorado, Boulder, CO 80309-0344
 MRC Applied Psychology Unit
15 Chaucer Road, Cambridge CB2 2EF, UK
rieman@cs.colorado.edu

**Knowledge is represented as propositions about objects, where each 
proposition has a subject, a relation, and an object

Represents certain basic procedural knowledge as productions. 
Productions fire when their condition side matches the current goal. 
For most productions, the result of firing is to add new information to 
Working Memory. Many productions also alter the goal or the stack of 
goals, and a few productions have the special function of causing 
physical movements that interact with the outside world.

Look for matches between objects and elements of instructions. 
Instructions are represented in subject-relation-object form,  
Identify an overlap, 

Propose identified object as a candidate for action.**

You'll find most chaining systems work something like that.

Len 
http://www.mp3.com/LenBullard

Ekam sat.h, Vipraah bahudhaa vadanti.
Daamyata. Datta. Dayadhvam.h


-----Original Message-----
From: Mark Brownell [mailto:gizmotron@earthlink.net]
Sent: Friday, September 07, 2001 11:20 AM
To: humanmarkup-comment@lists.oasis-open.org
Subject: Re: HM.applications-Profiling-Level of Details/Abstraction


----- Original Message ----- 
From: Bullard, Claude L (Len) 
> 
> -  If object is this.object and goal is this.goal; use this.action.
> 
> This requires the system (eg, the Human object) to identify 
> the meaningful attributes.
> 
> SELECT objects WHERE object is-a objectType AND has-name (property =
> somevalue) 
> 
> The facts may be episodic (was started) instead of categorical 
> (is-a object).
> 
> It may need chains of facts between the example task and the example
action,
> 
> to make features of the action meaningful.  What identifies the correct 
> action/control in a set (the item selection problem)?  
> 
> Scenario:  a human unfamiliar with a car's controls wants to 
> cool the car.
> 
> Goal is "cold"
> 
> Given
> 
> Episodic fact:  (this.action(push red button) -> this.state(heater.On) ->
> Result = "hot" )
> Context fact:   (blue = "cold")
> 
> Learns:
> 
> - rules for learning 
>   (this.action (this.object(controls) -> this.state(system.on))
> - rules for specific results 
>   (this.action (push blue button) -> this.state (airConditioner.on) ->
> Result="cold")
> 
> and these become part of the knowledge base.
> 
> Sean, how would RDF represent this?  Then we should inquire as to how a 
> human object uses the knowledge base.
> 
> Len 

Hi All,

To me, this form of explaining situations that then can be written into a
RDF are very helpful 
in understanding HumanML discussion. Something that jumps out at me is the
association 
of ideas with respect to other forms of data that can also be associated
with (I guess here) 
the first idea, or topic. So if there is going to be a RDF that attaches
associations of a 
primary object to specified sub-objects, (secondary objects), then how will
(a smart glue) 
associate beyond a RDF description of an associative primary object.
Especially when 
secondary objects have associative properties that relate to secondary
objects in other
primary objects. In my own opinion it is the presence of context that some
how establishes 
the characteristics of a magic glue for this kind of purpose. 

So far I have learned that an application using the RDF will establish its
own rule base given 
that the RDF is loosely floating somehow in a gravity free environment,
where objects obtain 
connective properties by the application's task oriented interface to either
machine or 
human need.

Please be patient with me here. I just woke from one dream where I saw a
connectivity of 
information as a linking mechanism. I'm now trying to contemplate the
existence of a magic 
glue. If you get what I'm saying here, can you explain magic glue to me.

For instance from the above example ["red" - turns on the heater]
secondarily relates to 
["blue" - turns on the car's cooler] with both being part of the car's
dashboard apparatus.
Now all are part of the properties of a car, where "red" is also a indicator
light that both 
verifies that the heater is on and an indicator light, from the idiot light
group, of the
instrument panel, of the dashboard, that reports that the engine is seizing
up as a result 
of the oil falling out of the car's engine. It seams that meaningfulness
expressed in RDF 
form will need some form of AI to determine its associative connection to
the request 
being made to it. In other words, a magic glue.

Best regards,

Mark Brownell






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