Here's Ken's TV interview in Santa Fe which provides a nice review of the findings in his book.
http://reportfromsantafe.com/episodes/view/293/ken-stanley-author-why-greatness-cannot-be-planned-the-myth-of-the-objective/ _______________________________________________________________________ stephen.gue...@simtable.com <stephen.gue...@simtable.com> CEO, Simtable http://www.simtable.com 1600 Lena St #D1, Santa Fe, NM 87505 office: (505)995-0206 mobile: (505)577-5828 twitter: @simtable On Wed, Jan 2, 2019 at 9:49 AM Marcus Daniels <mar...@snoutfarm.com> wrote: > Hi Stephen, > > > > Thanks for the paper. I have some colleagues that study deceptive energy > landscapes but it is a different literature. > > > > [I do like trying to figure out “How the hell did that work?!” more than a > workman-like construction project. Maybe up to a point when the > experiments and reverse engineering just get to be too hard (biology).] > > > > Marcus > > > > *From: *Friam <friam-boun...@redfish.com> on behalf of Stephen Guerin < > stephen.gue...@simtable.com> > *Reply-To: *The Friday Morning Applied Complexity Coffee Group < > friam@redfish.com> > *Date: *Wednesday, January 2, 2019 at 9:36 AM > *To: *The Friday Morning Applied Complexity Coffee Group < > friam@redfish.com> > *Subject: *Re: [FRIAM] on selection pressure > > > > Very cool, Marcus! > > > > Did you interact with Ken Stanley ( > https://scholar.google.se/citations?user=6Q6oO1MAAAAJ&hl=en&oi=ao) when > he was at SFI a couple years back? Ken's research would support your > observations on the importance on the pressure to maintain > novelty/diversity in evolutionary algorithms vs the focus on the objective > function. > > > > In particular this paper: > > https://www.mitpressjournals.org/doi/pdfplus/10.1162/EVCO_a_00025 > > > > Also, Ken's homepage: > http://www.cs.ucf.edu/~kstanley/ with more popular book links and Santa > Fe Radio Cafe Interviews. > > > > BTW, in the late 90's I was working a bit on evolving weights and > topologies of neural networks and was very inspired by Ken's advisor, Risto > Miikkulainen, and his team at UT Austin: > > https://www.cs.utexas.edu/users/risto/ > > http://nn.cs.utexas.edu/pub-list.php > > > _______________________________________________________________________ > stephen.gue...@simtable.com <stephen.gue...@simtable.com> > > CEO, Simtable http://www.simtable.com > > 1600 Lena St #D1, Santa Fe, NM 87505 > > office: (505)995-0206 mobile: (505)577-5828 > > twitter: @simtable > > > > > > On Wed, Jan 2, 2019 at 9:11 AM Marcus Daniels <mar...@snoutfarm.com> > wrote: > > Some memory, and the ongoing recombination and optimization of less fit > (high energy) individuals which tend to create other less fit individuals. > > In this optimization system there are numerous methods that are used to > create fit individuals, but the ones that create the very best individuals > do not arise from recombination + selection pressure. Mixing two distinct > (large Hamming distance) globally constraint-satisfying solutions tends to > create a non-constraint satisfying solutions. It is only once the two > parents are very similar (e.g. same species) that such a recombination will > even work, but by then it doesn't do all that much. > > Computationally, it easier to try more approaches and maintain a large > population than it is accelerate the algorithms that are most effective. > (For the former, just add more cores.) > > On 1/2/19, 8:57 AM, "Friam on behalf of ∄ uǝʃƃ" <friam-boun...@redfish.com > on behalf of geprope...@gmail.com> wrote: > > Are there computational (or otherwise not shown) costs to the members > that continue in the free case but are pruned in the selection case? > > On 1/2/19 7:44 AM, Marcus Daniels wrote: > > Here are a couple of plots from a large constrained optimization > problem I've been running. > > In the first case, I apply selection pressure: If a solution is not > in the top 200 performers, it dies. > > In the second case, the population can continue to grow without > concern for its performance. > > This is a 5900-dimensional pseudo-boolean problem and the best-known > solution is around 2.61e+08. Note the low end of the y axis is not close > to this. In both cases, aggressive efforts are made to diversify the > population and in both cases every shown solution is unique (even though > their energies can collide). > > > > In this case, I would argue that selection pressure has accomplished > nothing -- conservatism doesn't work if the goal is to create the most fit > individuals. The mean moves, if you care about that. But the very best > solutions are nearly the same, and neither have come close to the optimal. > > > > -- > ∄ uǝʃƃ > > ============================================================ > FRIAM Applied Complexity Group listserv > Meets Fridays 9a-11:30 at cafe at St. John's College > to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com > archives back to 2003: http://friam.471366.n2.nabble.com/ > FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove > > > ============================================================ > FRIAM Applied Complexity Group listserv > Meets Fridays 9a-11:30 at cafe at St. John's College > to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com > archives back to 2003: http://friam.471366.n2.nabble.com/ > FRIAM-COMIC <http://friam.471366.n2.nabble.com/FRIAM-COMIC> > http://friam-comic.blogspot.com/ by Dr. Strangelove > > ============================================================ > FRIAM Applied Complexity Group listserv > Meets Fridays 9a-11:30 at cafe at St. John's College > to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com > archives back to 2003: http://friam.471366.n2.nabble.com/ > FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove >
============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com archives back to 2003: http://friam.471366.n2.nabble.com/ FRIAM-COMIC http://friam-comic.blogspot.com/ by Dr. Strangelove
