tag:blogger.com,1999:blog-557021778411804072.post7278082937636225733..comments2010-06-24T22:31:55.853+01:00Comments on When Numbers Work: The psychology of gritAidahttp://www.blogger.com/profile/06169816681060782288noreply@blogger.comBlogger10125tag:blogger.com,1999:blog-557021778411804072.post-19659248035333883442009-08-31T19:52:54.203+01:002009-08-31T19:52:54.203+01:00Dzejla - Having considered this further I now thin...Dzejla - Having considered this further I now think i understand the problem. I couldn't really figure out why i couldn't think of a model that had a hopping penalty that you suggest. But I think it's a mis-understanding because I didn't describe the problem very well.<br /><br />I think the key is that the algorithm doesn't necessarily find the optimum path - it can take backwards steps as well moving forwards. <br /><br />What this means is that an algorithm that has less grit will bounce around more - the penalty (for moving too often) that you suggest will effectively come in because as the gritless algorithm bounces around it will go back as easily as forwards. <br /><br />I think that the algorithm with more grit will make more transitions in the right direction. It will just be prone to getting caught in a local minimum. <br /><br />Do you think that this makes sense?Marchttps://www.blogger.com/profile/07404115939721698803noreply@blogger.comtag:blogger.com,1999:blog-557021778411804072.post-166113078943714252009-08-31T03:12:25.163+01:002009-08-31T03:12:25.163+01:00It seems to me that Dzejla's definition of try...It seems to me that Dzejla's definition of trying more things despite etc etc, which he/she describes as less grit, is in fact the same as more grit. Perhaps I'm confused.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-557021778411804072.post-26209169529281837312009-08-30T00:51:20.087+01:002009-08-30T00:51:20.087+01:00That's a very good point. I guess you'd in...That's a very good point. I guess you'd introduce that into the model as a hopping penalty. Currently I can't think of a physical analogy but I'll consider it a bit more. <br /><br />Having said that I'd wager good money that the time taken to learn the most important details of a position is considerably less time than your average employee would tend to spend in that job.Marchttps://www.blogger.com/profile/07404115939721698803noreply@blogger.comtag:blogger.com,1999:blog-557021778411804072.post-5612104952525329992009-08-28T09:09:06.600+01:002009-08-28T09:09:06.600+01:00I believe this model needs to account for a couple...I believe this model needs to account for a couple of more things.<br /><br />Jumping around different states assumes<br />that you have stepped on each state and learned its value:<br />how much time does one need to get enough good of an estimate<br />of the value of the current state when talking about a way of life/research area/activity/person?<br /><br />It looks like grit is necessary on a very basic level.<br /><br />But let's say our agent with less grit has enough grit to overcome this obstacle.<br />Still, there is another issue that could work against it.<br /><br />It looks like a path that one with more grit would follow is less of a turbulent, more conventional path,<br />where you smoothly transition from state to state and it is implied that time to figure out the next<br />state to move to is not very long.<br /><br />On the other hand, an agent that follows a more creative path of exploring various states<br />faces a danger of spending too much time evaluating where to go next. <br />There is no simple predefined evaluation function in real life, and it tends to change over time - seems more so for an agent with less grit.<br /><br />It is clearly possible even under these circumstances for an agent with less grit<br />to reach the optimum faster than an agent with substantial grit. But only if they are able<br />to complete small-scale tasks quickly enough.Dzejlahttps://www.blogger.com/profile/17278987437677792949noreply@blogger.comtag:blogger.com,1999:blog-557021778411804072.post-75923241703687973882009-08-24T18:18:28.556+01:002009-08-24T18:18:28.556+01:00For posterity: the Jonah Lehrer article mentioned ...For posterity: the Jonah Lehrer article mentioned above, "Grit", is at <a href="http://scienceblogs.com/cortex/2009/08/grit.php" rel="nofollow">http://scienceblogs.com/cortex/2009/08/grit.php</a>Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-557021778411804072.post-396227806645749432009-08-17T14:35:56.707+01:002009-08-17T14:35:56.707+01:00You can edit the post directly to correct the name...You can edit the post directly to correct the name.Marchttps://www.blogger.com/profile/07404115939721698803noreply@blogger.comtag:blogger.com,1999:blog-557021778411804072.post-41399249980263644032009-08-17T02:47:17.747+01:002009-08-17T02:47:17.747+01:00http://www.youtube.com/watch?v=IL4vWJbwmqM
(it...http://www.youtube.com/watch?v=IL4vWJbwmqM<br /><br />(it's too late for posting anything more intelligent)Aidahttps://www.blogger.com/profile/06169816681060782288noreply@blogger.comtag:blogger.com,1999:blog-557021778411804072.post-55703186791674495022009-08-17T02:44:11.614+01:002009-08-17T02:44:11.614+01:00dah! i wrote tom lehrer above, when i meant jonah ...dah! i wrote tom lehrer above, when i meant jonah lehrer. tom lehrer is a mathematician turned comedian (check the song "lobachevsky" for example :))Aidahttps://www.blogger.com/profile/06169816681060782288noreply@blogger.comtag:blogger.com,1999:blog-557021778411804072.post-6080991962366574912009-08-17T02:30:51.359+01:002009-08-17T02:30:51.359+01:00http://scienceblogs.com/cortex
(the post from 3 A...http://scienceblogs.com/cortex<br /><br />(the post from 3 August)Aidahttps://www.blogger.com/profile/06169816681060782288noreply@blogger.comtag:blogger.com,1999:blog-557021778411804072.post-84141461745370988192009-08-17T01:18:38.868+01:002009-08-17T01:18:38.868+01:00could you link the blog please?could you link the blog please?Marchttps://www.blogger.com/profile/07404115939721698803noreply@blogger.com