Topic: | Re:The genetics analogy |
Posted by: | John Grinder |
Date/Time: | 22/01/2003 04:27:46 |
RobMan Couple of comments: 1. You wrote, "Analysing populations for expressed and observable traits can however help point to areas that are worthy of further investigation. Not necessarily identifying specific internal models...but showing who has the traits we're interested in and how to allocate modelling resources." Compare this to, "Note that in this particular example, the only role that statistical tools (based on the probabilistic model) – the use of the mean and possibly some measures that characterize the type of distribution such as standard deviation – would have played would be to give the investigator some confidence that there was a pattern hidden in the amalgamated data (the group level results). Thus emboldened by this initial result, she could proceed to make a more refined study of the strategy and the strong proposals associated with it." Whispering, page 9 2. Could you amplify your remarks - namely, "The 3 evolutionary forces of variation, replication and selection work for implicit models too" I get the impression that this statement comes out of some larger tradition - I would appreciate a reference if this is correct. I am particularly riveted by the phase "implicit models" in this context. 3. You wrote, "In both genetics and NLP the sequences or models are internal..." I don't think so - the point of the NLP models that I have participated in creating is to explicate the patterning of excellence by some genius - the sole criterion to determine whether the model is successful - that is, does a person who has studied and learned the explicit model preform (roughly) like the original model (at least for that portion of the original model's behavior that was modeled. In what sense is this internal? All the best, John |
Topic | Date Posted | Posted By |
NLP & statistics | 02/01/2003 10:42:12 | Patrick E.C. Merlevede, MSc. (jobEQ.com) |
Re:NLP & statistics | 02/01/2003 11:27:47 | Patrick E.C. Merlevede, MSc. (jobEQ.com) |
Re:Re:NLP & statistics | 04/01/2003 08:44:24 | Bruce |
Re:Re:Re:NLP & statistics | 04/01/2003 11:23:38 | Patrick E.C. Merlevede, MSc. (jobEQ.com) |
Re:NLP & statistics | 04/01/2003 18:33:09 | Bruce |
Re:NLP & statistics | 05/01/2003 17:23:40 | John Grinder |
Re:Re:NLP & statistics | 06/01/2003 07:47:18 | Patrick E.C. Merlevede, MSc. (jobEQ.com) |
Re:Re:Re:NLP & statistics | 17/01/2003 19:46:21 | John Grinder |
NLP & statistics | 18/01/2003 00:16:31 | suzyhomemaker |
Re:NLP & statistics | 18/01/2003 04:03:44 | John Grinder |
Re:Re:NLP & statistics | 18/01/2003 23:03:27 | Robert |
Re:NLP & statistics | 09/02/2003 12:10:24 | Patrick E.C. Merlevede, MSc. (jobEQ.com) |
27/02/2003 02:28:33 | Ryan Nagy | |
NLP/statistics/dynamic systems | 27/02/2003 02:33:32 | Ryan Nagy |
Re:NLP/statistics/dynamic systems | 03/03/2003 06:53:34 | Patrick E.C. Merlevede, MSc. (jobEQ.com) |
Re:Re:NLP/statistics/dynamic systems | 04/03/2003 17:45:19 | Ryan Nagy |
Re:Re:NLP/statistics/dynamic systems | 04/03/2003 22:09:54 | John Grinder |
A statistical model of elegance and diffusion | 21/01/2003 03:19:20 | Rob Manson |
Re:A statistical model of elegance and diffusion | 21/01/2003 04:16:48 | John Grinder |
Re:Re:A statistical model of elegance and diffusion | 21/01/2003 10:55:06 | Rob Manson |
Re:Re:Re:A statistical model of elegance and diffusion | 21/01/2003 17:22:38 | John Grinder |
The genetics analogy | 21/01/2003 11:54:19 | Rob Manson |
Re:The genetics analogy | 22/01/2003 04:27:46 | John Grinder |
Re:Re:The genetics analogy | 22/01/2003 05:35:59 | Rob Manson |
Re:The genetics analogy | 22/01/2003 04:27:48 | John Grinder |
Re:The genetics analogy | 22/01/2003 04:27:53 | John Grinder |
Re:The genetics analogy. topic: Solutions to Puzzles/Recommendations | 22/01/2003 05:53:24 | nj |
Re:Re:The genetics analogy. topic: Solutions to Puzzles/Recommendations | 22/01/2003 07:39:41 | Rob Manson |
Re:Re:Re:The genetics analogy. topic: Solutions to Puzzles/Recommendations | 22/01/2003 17:24:09 | John Grinder |
Re:Modelling vs Analysis | 22/01/2003 23:16:12 | Rob Manson |
The genetics analogy | 21/01/2003 11:55:16 | Rob Manson |
Re:NLP & statistics | 24/01/2003 06:49:17 | Mike |
Re:Re:NLP & statistics | 24/01/2003 16:39:35 | John Grinder |
Re:Re:Re:NLP & statistics | 24/01/2003 17:25:03 | Mike |
Re:Re:Re:Re:NLP & statistics | 24/01/2003 18:26:08 | John Grinder |
Re:Re:Re:Re:Re:NLP & statistics | 28/01/2003 20:04:54 | Mike |