Re: updated uncertainty ontology

Mitch,

I don't agree that "empirical" classifies "evidence."  It says  
empirical refers to working hypotheses that are testable using  
observation or experiment.  Empirical uncertainty would then be  
uncertainty about empirical hypotheses, such as uncertainty about  
John's height in centimeters.

K

On Jan 9, 2008, at 11:38 AM, Mitch Kokar wrote:

> Kathy,
>
> In this case Wikipedia uses "empirical" as classification of  
> "evidence", not "uncertainty". We have room for this in our  
> Uncertainty Ontology under "Derivation". So far the derivation  
> (evidence) has been sub-classified as either Objective or  
> Subjective. Objective evidence could be further sub-classified into  
> "Empirical" and (possibly) "Theoretical".
>
> ==Mitch
>
>
>
> On Jan 9, 2008, at 11:16 AM, Kathryn B Laskey wrote:
>
>> From Wikipedia:
>>
>> A central concept in science and the experiment or observation.[1]  
>> It is usually differentiated from the philosophic usage of  
>> empiricism by the use of the adjective "empirical" or the adverb  
>> "empirically." "Empirical" as an adjective or adverb is used in  
>> conjunction with both the natural and social sciences, and refers  
>> to the use of working hypotheses that are testable using  
>> observation or experiment. In this sense of the word, scientific  
>> statements are subject to and derived from our experiences or  
>> observations.
>>
>> I don't think "John is tall" qualifies as an empirical assertion  
>> because there is no way to test it using observation or  
>> experiment.  "John is 1.8 meters tall" is an empirical assertion.   
>> I can verify it by performing an experiment.
>>
>> The term empirical is used by Morgan, M. G. and M. Henrion (1990).  
>> Uncertainty: A Guide to Dealing with Uncertainty in Quantitative  
>> Risk and Policy Analysis. New York, Cambridge University Press, to  
>> refer to properties that can be verified by experiments, and to  
>> which it is legitimate to assign probabilities.
>>
>> Kathy
>>
>> On Jan 8, 2008, at 3:22 PM, Mitch Kokar wrote:
>>
>>>
>>> Kath lies to your changes.
>>>
>>> On Jan 7, 2008, at 11:44 PM, Kathryn B Laskey wrote:
>>>
>>>> Mitch,
>>>>
>>>> I made a couple of changes to the uncertainty ontology. Please  
>>>> look them over and let me know what you think.
>>>>
>>>> I was uncomfortable with the word "random" being used as broadly  
>>>> as you use it.   The standard usage of the term random connotes a  
>>>> phenomenon that follows a statistical law. There is much  
>>>> ontological debate over whether randomness in this sense really  
>>>> exists.  Most people would not use the label random for sentences  
>>>> that have a definite but unknown truth-value -- such as whether  
>>>> Sacco and Vanzetti were guilty. Nevertheless, we can apply  
>>>> probability to such sentences (see the book on the Sacco and  
>>>> Vanzetti case by Jay Kadane and Dave Schum).  I took the liberty  
>>>> of changing the ter ology page.  I haven't changed any of the  
>>>> diagrams, and if I'm overruled we can go back -- but I really  
>>>> think this terminology is more appropriate. Then I made  
>>>> randomness a subclass of empirical uncertainty.  I chose this  
>>>> terminology because that is the term used by Morgan and Henrion  
>>>> (1990), which I have added to the reference list.  It is an  
>>>> excellent reference on uncertainty.
>>>
>>> I like your descriptions of Empirical. This is definitely a better  
>>> description than what we had before for "Randomness". However, the  
>>> name "empirical" seems to be strange here, but if you think this  
>>> is the name to use, then I have no problem. The other opposite of  
>>> "empirical" is "theoretical". So would you say that the other  
>>> types (ambiguity, vagueness and inconsistency) are theoretical and  
>>> not empirical? This might be the case, but it's just that I am not  
>>> sure.
>>>
>>> I would prefer a different description of Randomness. You say  
>>> "sentence is an instance of a class" - do we here? Could we just  
>>> say that "there is a statistical law governing whether the  
>>> possible worlds satisfy a sentence"? Or something of this sort?
>>>
>>>>
>>>>
>>>> I also don't think it's right to say for the case of randomness  
>>>> that a sentence is satisfied in one of the worlds.  An event in  
>>>> probability theory is a sentence that has a definite truth-value  
>>>> in each world (satisfies the clarity test) and is satisfied in a  
>>>> subset of worlds.  I changed the definition to correspond to this.
>>>
>>> Agreed (see above).
>>>>
>>>> I have issues with your definition of vagueness and ambiguity  
>>>> also.  For ambiguity, you say a sentence can be satisfied in many  
>>>> worlds.  Consider a sequence of 50 coin tosses, and consider the  
>>>> sentence that the first toss is heads.  This sentence is not  
>>>> ambiguous.  Its meaning i It is satisfied in 2^49 of the 2^50  
>>>> possible worlds.  I looked at many definitions of ambiguity. It  
>>>> means open to multiple interpretations; not clearly defined. I  
>>>> changed the definition of ambiguity to "the referents of terms in  
>>>> a sentence to the world are not clearly specified and therefore  
>>>> it cannot be determined whether the sentence is satisfied".
>>>
>>> I like this. In my first attempt I wanted to capture exactly what  
>>> you mentioned above - open to multiple interpretations. Your  
>>> description captures this much better.
>>>>
>>>> I also changed vagueness to "there is not a precise  
>>>> correspondence between terms in the sentence and referents in the  
>>>> world".  The prototypical example of vagueness is the concept of  
>>>> "tall" -- each of the possible worlds specifies a definite  
>>>> height, but there is no referent in the world for the term "tall."
>>>>
>>> The example of s exactly what I had mind, too. My intuition here  
>>> points to fuzzy logic. The only problem with the description now  
>>> is that vagueness looks very much like ambiguity. Perhaps we  
>>> should make a reference to multi-valued logic here?
>>>
>>>> I am not thrilled with these definitions, but they are the best I  
>>>> could do.  I don't think the original definitions were tenable  
>>>> for the reasons I've given.  Does anyone care to comment or make  
>>>> additional changes?
>>>>
>>>> I also added anchors to the wiki page, so that links can be  
>>>> included to the WikiWords in the uncertainty ontology.  For  
>>>> example, go to the Discovery or Appointment Making use cases,  
>>>> which have both now been annotated.  If you click on, for  
>>>> example, UncertaintyNature, it will take you to the place in the  
>>>> uncertainty ontology where UncertaintyNature is defined.
>>>>
>>>
>>> On Dec 19, 2007, at 9:19 AM, Mitch Kokar wrote:
>>>
>>>> Hi all,
>>>>
>>>> In order to annotate the "buying speakers" scenario I had to extend
>>>> the Uncertainty Ontology a bit. Attached is a new version. Also
>>>> attached is a graphical representation of the annotation of the
>>>> scenario. I will explain the details in the telecon.
>>>>
>> ==Mitch
>>>>
>>>> Content-Disposition: attachment;
>>>> filename=Uncertainty-v2.owl
>>>> <Uncertainty-v2 1.owl><Picture 1 5.png>
>>>
>>
>>
>>
>

Received on Sunday, 20 January 2008 20:04:14 UTC