27 JUL 2018 by ideonexus

 All Failures are the Result of Insufficient Knowledge

Optimism (in the sense that I have advocated) is the theory that all failures—all evils—are due to insufficient knowledge. . . . Problems are inevitable, because our knowledge will always be infinitely far from complete. Some problems are hard, but it is a mistake to confuse hard problems with problems unlikely to be solved. Problems are soluble, and each particular evil is a problem that can be solved. An optimistic civilization is open and not afraid to innovate, and is based on traditi...
Folksonomies: knowledge progress
Folksonomies: knowledge progress
  1  notes
 
10 FEB 2018 by ideonexus

 Computer Models as Play

There is, indeed, an "art" to worldplay in the social sciences that fuses narrative with analytical technique. There is also a kinship with the arts in the relationship between imagined world and reality, a point brought home by political scientist and ellow Robert Axelrod. In the early 1960s the teenage Axelrod won the Westinghouse kience Talent Search for a very simple computer simulation of hypothetical lifeforms behaving in an artificial environment. Ever since, he has worked on the appli...
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26 MAY 2015 by ideonexus

 BIDS Approach to Understanding Intelligence

There is nothing really the matter with the concept of g; it is just that we have misused it by making it the omnipresent concept in our study of cognitive abilities. Intelligence is important on three levels, namely, brain physiology, individual differences, and social trends (collectively, BIDS). The core of a BIDS approach to intelligence is that each of those levels has its own organizing concept, and it is a mistake to impose the architectonic concept of one level on another. We have to ...
Folksonomies: intelligence g-factor
Folksonomies: intelligence g-factor
  1  notes

Intelligence is a Network of Factors.

24 JAN 2015 by ideonexus

 The Mistake of Not Taking Theories Seriously Enough

This is often the way it is in physics. Our mistake is not that we take our theories too seriously, but that we do not take them seriously enough. It is always hard to realize that these numbers and equations we play with at our desks have something to do with the real world. Even worse, there often seems to be a general agreement that certain phenomena are just not fit subjects for respectable theoretical and experimental effort. . . . The most important thing accomplished by the discovery o...
Folksonomies: hypotheses theories
Folksonomies: hypotheses theories
  1  notes
 
24 JAN 2014 by ideonexus

 Computer Simulations Allow for Mistakes

. . in real life mistakes are likely to be irrevocable. Computer simulation, however, makes it economically practical to make mistakes on purpose. If you are astute, therefore, you can leam much more than they cost. Further¬ more, if you are at all discreet, no one but you need ever know you made a mistake.
  1  notes

Where mistakes in the real world don't allow do-overs.

27 NOV 2013 by ideonexus

 Science is the "Crucible" for Extending Life

People are living longer and societies are getting grayer. You hear about it all the time. You read about it in your newspapers. You hear about it on your television sets. Sometimes I'm concerned that we hear about it so much that we've come to accept longer lives with a kind of a complacency, even ease. But make no mistake, longer lives can and, I believe, will improve quality of life at all ages. Now to put this in perspective, let me just zoom out for a minute. More years were added to av...
  2  notes

Our culture, our memes account for our extended lifespans.

08 APR 2013 by ideonexus

 The Deep Cost of Science

"Oh... there aren't many people who know how to do true science - understanding something for the very first time, even if it confuses the hell out of you. Help would be helpful." Draco stared at Harry with his mouth open. "But make no mistake, Draco, true science really isn't like magic, you can't just do it and walk away unchanged like learning how to say the words of a new spell. The power comes with a cost, a cost so high that most people refuse to pay it." Draco nodded at this as tho...
  1  notes

Is learning to admit your wrong, and everytime you change your mind you change yourself.

05 JUN 2012 by ideonexus

 Nature as a Game of Chess

Suppose it were perfectly certain that the life and fortune of every one of us would, one day or other, depend upon his winning or losing a game of chess. Don't you think that we should all consider it to be a primary duty to learn at least the names and the moves of the pieces; to have a notion of a gambit, and a keen eye for all the means of giving and getting out of check? Do you not think that we should look with a disapprobation amounting to scorn upon the father who allowed his son, or ...
Folksonomies: nature learning discovery
Folksonomies: nature learning discovery
  1  notes

We are in the game, shouldn't we learn the rules?

04 JAN 2012 by ideonexus

 Give Up Untenable Positions

But at the same time, there must never be the least hesitation in giving up a position the moment it is shown to be untenable. It is not going too far to say that the greatness of a scientific investigator does not rest on the fact of his having never made a mistake, but rather on his readiness to admit that he has done so, whenever the contrary evidence is cogent enough.
Folksonomies: truth error mistakes
Folksonomies: truth error mistakes
  1  notes

The greatness of the scientific investigator is in the ability to admit mistakes.

01 JAN 2012 by TGAW

 The Problem with Sending Robots to Troubleshoot

Now if a robot is given an order, a precise order, he can follow it. If the order is not precise, he cannot correct his own mistake without further orders. Isn't that what you reported concerning the robot on the ship? How then can we send a robot to find a flaw in a mechanism when we cannot possibly give precise orders, since we know nothing about the flaw ourselves? 'Find out what's wrong' is not an order you can give to a robot; only to a man. The human brain, so far at least, is beyon...
   notes

In 1955, in his story "Risk!" Isaac Asimov has Susan Calvin explain the problem with sending robots in to troubleshoot a situation. 57 years later, I find her words to acurately describe why it is hard to hand off certain support tasks to new developers.