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Productive use of W|A

Productive use of W|A

Postby briangilbert » Wed Jun 24, 2009 11:18 am
W|A has launched as of academic interest with the intention that it becomes directly productive.
If you have made productive use of W|A please give details as a reply to this question. The number of replies will give some indication of how fast and in what ways it is becoming productive. briangilbert.
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Re: Productive use of W|A

Postby Brightside » Tue Jun 30, 2009 8:03 am
I use it daily to conduct common stock analysis. I can get dual listed share information and convert prices from foreign currencies into other currencies instantly. Economic research that would take me weeks to collate now takes no time at all. The biggest potential is in analysis. Being able to push a train of analysis from start to finish in W|A would change the way Financial Analysts operate. The data is all there, but it needs to accommodate a certain cognitive style.
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Re: Productive use of W|A

Postby briangilbert » Sat Jul 11, 2009 4:10 pm
Thanks. That has given me the idea of comparing computed figures for differrent countries for political commentary purposes.briangilbert.
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Re: Productive use of W|A

Postby tabeles » Mon Jun 06, 2011 3:10 pm
W|A claims not to be a search engine or a "computational" system, it seems to have its bases in using such. For example when a query seeking to understand the meaning of "value" such as in Dworkin's recent book, Justice for Hedgehogs, or searching on futures/foresight and terms such as "Singularity" or asking abstract philosophical questions, it defaults to Ask.com type answers or basic definitions. The truly difficult questions seem to stump W|A and one turns to the human interface such as Kahn Academy or any of the many social networking and new media sites.

The system seems to default to a preferred numerical analysis best handle by Mathematica or to definitions meaning it searches data bases which are minimally text based or numerical data bases and computational models.

It fails with the "hard" questions which still need human input or search and interpretation of text as well as vetting of experts such as one finds on Amazon.com or Facebook or....
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Re: Productive use of W|A

Postby briangilbert » Mon Jun 06, 2011 6:41 pm
tabeles wrote:W|A claims not to be a search engine or a "computational" system, it seems to have its bases in using such. For example when a query seeking to understand the meaning of "value" such as in Dworkin's recent book, Justice for Hedgehogs, or searching on futures/foresight and terms such as "Singularity" or asking abstract philosophical questions, it defaults to Ask.com type answers or basic definitions. The truly difficult questions seem to stump W|A and one turns to the human interface such as Kahn Academy or any of the many social networking and new media sites.

The system seems to default to a preferred numerical analysis best handle by Mathematica or to definitions meaning it searches data bases which are minimally text based or numerical data bases and computational models.

It fails with the "hard" questions which still need human input or search and interpretation of text as well as vetting of experts such as one finds on Amazon.com or Facebook or....


W|A is definitely not a search engine.It does sometimes pass on all or part of a query from a search engine but the response by the search engine but this is as a convenience to the user. That response is not curated by W|A and must be regarded accordingly.

W|A is computational. The official original definition by Stephen Wolfram defined it as a 'Computational Search Engine'. It is not fully implemented but where it is you can input a comples query. The answer to each junior query is returned in the result field and can be immediately used as a factor in a higher level part of the same Input.
Using a search engine you have to pick out the data you want from the response and key it in to a further search. To use this you put the junior queries in braces and place them as factors within a senior query.

W|A has access to the computational powers of Mathematica but by definition it is intended to grow until it includes all known computational methods. Iys early powers in this respect are due not to bias but that NMathematica is also a product of Wolfram Research.

It obtains its data from 'experts' and the curation process represents the vetting you speak of. If you spot a particular weakness report it using the FEEDBACK facility at thge bottom of the output.

You speak of it failing "hard" questions. It only claims to do the best it can with the data including algorithms/formulas that it has collected.
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