# Gene pool: "swimming" # Creatures which swim (water environment) # # Downloaded on 2018-02-19 from Framsticks Experimentation Center org: name:Jellyfish #1 genotype:~ WX[S:-.1](X[S:1], XWXLWX[|-1:1, -2:1][@-1:-.1]LLWWrrX[|-2:.1, =:.01][@-2:-.1]rrLLWWX(, , rrllllllllllllwwX[G:-.6, =:1](, rrlllllwwXMX[|-1:-.75](wXX[|-1:-.3]), rrlllllwwXMX[|-3:-.75](wXX[|-1:-.3]), rrlllllwwXMX[|-5:-.75](wXX[|-1:-.3]), rrlllllwwXMX[|-7:-.75](wXX[|-1:-.3]), rrlllllwwXMX[|-9:-.75](wXX[|-1:-.3]), rrlllllwwXMX[|-11:-.75](wXX[|-1:-.3]), rrlllllwwXMX[|-13:-.75](wXX[|-1:-.3]), rrlllllwwXMX[|-15:-.75](wXX[|-1:-.3]), rrlllllwwXMX[|-17:-.75](wXX[|-1:-.3]), rrlllllwwXMX[|-19:-.75](wXX[|-1:-.3]), rrlllllwwXMX[|-21:-.75](wXX[|-1:-.3]), rrlllllwwXMX[|-23:-.75](wXX[|-1:-.3]), )))~ info_timestamp:883612800.0 info_author:A.S.Wigand info_author_ispublic:1 info_email: info_email_ispublic:0 info: info_origin:1 info_how_created: info_performance: num:114 instances:0 data: org: name:Jellyfish #2 genotype:~ WX[S:-.1](X[S:1], XWXLWX[|-1:1, -2:1][@-1:-.1]LLWrrX[|-2:.1, =:.01][@-2:-.1]rrLLWWX(, , rrllllllllllllwwX[G:-.4, =:1](, rrlllllwwXMX[|-1:-2.2](XX[|-1:-.3]), rrlllllwwXMX[|-3:-2](XX[|-1:-.3]), rrlllllwwXMX[|-5:-2](XX[|-1:-.3]), rrlllllwwXMX[|-7:-2](XX[|-1:-.3]), rrlllllwwXMX[|-9:-2](XX[|-1:-.3]), rrlllllwwXMX[|-11:-1.8](XX[|-1:-.3]), rrlllllwwXMX[|-13:-1.8](XX[|-1:-.3]), rrlllllwwXMX[|-15:-2](XX[|-1:-.3]), rrlllllwwXMX[|-17:-2](XX[|-1:-.3]), rrlllllwwXMX[|-19:-2](XX[|-1:-.3]), rrlllllwwXMX[|-21:-2](XX[|-1:-.3]), rrlllllwwXMX[|-23:-2.2](XX[|-1:-.3]), )))~ info_timestamp:883612800.0 info_author:A.S.Wigand info_author_ispublic:1 info_email: info_email_ispublic:0 info: info_origin:1 info_how_created: info_performance: num:115 instances:0 data: org: name:Jellyfish #3 genotype:~ WX[S:1](WX[S:-.1], XWXLWX[|-1:1, -2:1, =:.09][@2:1]LLWrrX[@-3:-1, -4:-1]rrLLWWX(, , rrllllllllllllwwX[G:-.38, =:1](, rrlllllwwXMX[|-1:-2.2](XMX[|-1:.4]), rrlllllwwXMX[|-3:-2](XMX[|-1:.5]), rrlllllwwXMX[|-5:-2](XMX[|-1:.5]), rrlllllwwXMX[|-7:-2](XMX[|-1:.5]), rrlllllwwXMX[|-9:-2](XMX[|-1:.5]), rrlllllwwXMX[|-11:-1.8](XMX[|-1:.6]), rrlllllwwXMX[|-13:-1.8](XMX[|-1:.6]), rrlllllwwXMX[|-15:-2](XMX[|-1:.5]), rrlllllwwXMX[|-17:-2](XMX[|-1:.5]), rrlllllwwXMX[|-19:-2](XMX[|-1:.5]), rrlllllwwXMX[|-21:-2](XMX[|-1:.5]), rrlllllwwXMX[|-23:-2.2](XMX[|-1:.4]), )))~ info_timestamp:883612800.0 info_author:A.S.Wigand info_author_ispublic:1 info_email: info_email_ispublic:0 info: info_origin:1 info_how_created: info_performance: num:116 instances:0 data: org: name:Sinefish genotype:~ MX[@0:905.710]X[|0:-2.773, 1:0.795]XMMMX[|0:-0.797, 1:0.837]MX[|0:0.837, 1:2.543, -1:0.832]X[|0:0.854, 1:0.837]MMMMX[|0:0.977, 1:0.837]XMMMX[|0:0.854, 1:0.837]MX[|0:0.854, 1:1.282]X[|0:0.854, 1:0.837]MMMMX[|0:0.854, 1:0.837]MMMMXMMX[|0:0.854, 1:0.837]MX[|0:0.854, 1:2.478]X[|0:0.854, 1:0.837]MMMMX[|0:0.854, 1:0.837]MMMMXX[|0:0.854, 1:0.837]MMMMX[|1:0.837]MMMMX[|0:0.854, 1:0.837]MMX[|0:-1.047, 1:166.154]MX[|0:0.854, 1:2.946]X[|0:0.949, 1:0.837]X[@0:2.664, -1:-1.707]~ info_timestamp:946684800.0 info_author:Unknown info_author_ispublic:1 info_email: info_email_ispublic:0 info: info_origin:3 info_how_created:~ I simply took a single stick and let it evolve. ~ info_performance:~ It is quite fast and makes a very nice sine movement. Run it in enough deep water.~ num:117 instances:0 data: org: name:Catfish genotype:~ rlllllWXlMMM(LLLLLLmwwX, , , RRllllMMXlMMMMX[|1:0.740, 0:1.285]lllMMMMMMMMMX[|1:1.408]lllllMMX[|1:2.444]lMMMMMX[|1:2.444]LLLLLLLLMMMX[|-4:1.346, /:-0.434, !:1.000]Lm(llllllllllllcccMWX(, , mLLX[|1:1, =:.4], ), , , lllllllMwX[1:1, 2:-1, !:.1, =:.8]LLLMM(, , , lllllllXX[S:1, 1:-.75, !:.2, =:.8], , , , , lllllllXX[S:.5, -1:-.75, !:.2, =:.8], , , ), , , llllllllllCCCWXl(, wLLX[|-3:1, =:.4], , )), , )~ info_timestamp:883612800.0 info_author:A.S.Wigand info_author_ispublic:1 info_email: info_email_ispublic:0 info: info_origin:2 info_how_created:Physical and neural structure manually created, then evolved. info_performance: num:118 instances:0 data: org: name:Food finder genotype:~ lllllfffMIX[|0:2.236, 3:-2.149, 1:-1][-1:1, 0:3.044, 0:-1](, , , LLLfffIX[S:1], ffMIX[|-2:1, -1:-10, 8:10]ffMMIX[|-1:1, -2:-10, 7:10]llfffMIX[|-1:1, -3:-10, 6:10]llfffMIX[|-1:1]lllfffMMIX[|-1:1]llfffMIX[|-1:1]llfffMIX[|-1:1]LfffMIX[|-1:1], LLLfffIX[S:1], , , )~ info_timestamp:883612800.0 info_author:Miron Sadziak info_author_ispublic:1 info_email: info_email_ispublic:0 info:Underwater food finder. info_origin:2 info_how_created: info_performance: num:119 instances:0 data: org: name:Food finder 3D genotype:~ RR(, , LLfffIX[S:1], lllllfffMIX[|0:2.236, 3:-2.149, 1:-1][-1:1, 0:3.044, 0:-1](, , , LLfffIX[S:1], ffMX[|-2:1, -1:-10, 10:10]RRffMX[|-1:1, -2:-10, 9:10]RRRRRRfflllMX[|-6:1, 9:-1]llfffMX[|-2:1, -4:-10, 7:10]RRllfffMX[|-1:1]RRRRRRfflllMX[|-9:1, 5:-1]lllfffMX[|-2:1]llfffMX[|-1:1]llfffMX[|-1:1]LfffMX[|-1:1], LLfffX[S:1], , , ), LLfffIX[S:1], , )~ info_timestamp:883612800.0 info_author:Miron Sadziak info_author_ispublic:1 info_email: info_email_ispublic:0 info:Underwater food finder. info_origin:2 info_how_created: info_performance: num:120 instances:0 data: org: name:Long swimmer genotype:~ MX[@0:905.710]X[|0:-2.773, 1:0.795]XMMMX[|0:-0.797, 1:0.837]MX[|0:0.837, 1:2.543, -1:0.832]X[|0:0.854, 1:0.837]MMMMX[|0:0.977, 1:0.837]XMMMX[|0:0.854, 1:0.837]MX[|0:0.854, 1:1.282]X[|0:0.854, 1:0.837]MMMMX[|0:0.854, 1:0.837]MMMMXMMX[|0:0.854, 1:0.837]MX[|0:0.854, 1:2.478]X[|0:0.854, 1:0.837]MMMMX[|0:0.854, 1:0.837]MMMMXX[|0:0.854, 1:0.837]MMMMX[|1:0.837]MMMMX[|0:0.854, 1:0.837]MMX[|0:-1.047, 1:166.154]MX[|0:0.854, 1:2.946]X[|0:0.949, 1:0.837]X[@0:2.664, -1:-1.707]~ info_timestamp:915148800.0 info_author:Jean-Luc Herren info_author_ispublic:1 info_email: info_email_ispublic:0 info: info_origin:3 info_how_created:Evolved for speed. info_performance: num:121 instances:0 data: org: name:Simple little swimmer genotype:~ RRFFX[@G:0.662, *:-1.333]RFX[@G:0.802]MMMMX[|-1:-1.569][-1:2.367, 0:-0.294]rrSIXCXXrcfSI(RXX)~ info_timestamp:915148800.0 info_author:Greg Webb info_author_ispublic:1 info_email: info_email_ispublic:0 info: info_origin:1 info_how_created: info_performance: num:122 instances:0 data: org: name:Swimming Snake genotype:X[|1:1, 0:-0.5]X[|1:1, 0:-0.5]X[|1:1, 0:-0.5]X[|-3:-6] info_timestamp:883612800.0 info_author:Unknown info_author_ispublic:1 info_email: info_email_ispublic:0 info: info_origin:1 info_how_created:First trial, needs more evolution! info_performance: num:123 instances:0 data: org: name:Esofyg Is genotype:XX[|1:2.074, 0:-1.956]X[|1:-2.461]X[|-2:2.217] info_timestamp:915148800.0 info_author:Unknown info_author_ispublic:1 info_email: info_email_ispublic:0 info: info_origin:2 info_how_created:Swimming snake's relative (after evolution). info_performance: num:124 instances:0 data: org: name:Freestyler genotype:~ LLLXLLLXLLLX[@1:-1, 14:1.652, G:-1][0:0.186, =:0.000, -1:2][!:1.000, =:0.000, -2:2][!:0.700, =:0, -2:3.686][!:0.160, =:0.827, -2:-4.505][!:1.000, =:0.000, -2:-2.699][!:0.1, =:0.000, -2:2]LMX[@!:0.0, 14:-0.790, G:-1][|!:1, =:0, /:5, 13:-299.627, 14:-10][!:0.032, =:0, -1:2][!:1.000, 0:-2.849, -2:2][!:0.028, -2:2][!:0.140, -2:2][!:0.1, =:0, -2:2][!:0.1, =:0.898, -2:2.862, -1:5.972][!:0.1, =:0, -2:2][!:0.1, =:0, -2:2, 1:16.528][!:1.000, =:0.000, -2:2][!:0.062, =:0, -2:3.887, 1:-2.716][!:0.175, =:0.000][!:1.000, =:0.892, -2:1.659][/:5, -2:-5][/:999.000, -2:5]~ info_timestamp:946684800.0 info_author:Tom Hartley info_author_ispublic:1 info_email:t.hartley@ucl.ac.uk info_email_ispublic:1 info: info_origin:2 info_how_created:~ I wanted to evolve something other than a worm. From experiments with pairs of sticks, I noticed that I sometimes saw a pair that swum with large "strokes" like a human swimmer, or frog. I started with two long connected sticks, with a bending joint. By trial and error, I added a chain of neurons providing a time delay between "strokes". I limited mutations to neural only during the early stages, and gradually increased the level of morphological mutations. Initially, behavior was very uncoordinated. Eventually, a form emerged that used one arm to swim, while using a long stick as a counterbalance. I selected for velocity, distance and lifespan (...). At one point I selected the fittest swimmer, put it into a fresh simulation, and allowed radiation to occur from that point.~ info_performance:~ The counterbalance (tail) is rotated at the right moment, so that the arm is lifted out of the water.~ num:125 instances:0 data: org: name:Trishark genotype:~ MMMMMXlllMMMMMX[|1:2.951]lllMMMMMX[|1:2.721]lllMMMMMX[|1:2.303]lllMMMMMX[|1:2.482]lllMMMMMX[|1:2.684]lllMMMMMX[|1:0.887]lllMMMMMX[|1:1]lllMMMMMX[|1:1.394]lllMMMMMX[|3:1][0:1.387, 2:-3.051, 1:-1.827][-1:1.061, 0:2.351, 1:-0.562][-1:0.756, -2:2.003, 0:-3.094]RRMMMMMX[|3:-2.183, 4:-1.574, 5:2.803, 6:-1.685]RRMMMMMX[|2:1.202, 3:-0.749, 4:-1.672, 5:3.004](RCCCCfffffIIIIIX[S:-1.013], , , , rrlllllllllIIIIIX[-1:-2.552, 0:-1.012, 1:4.480, 2:1.608, 3:4.701, 4:0, 5:4.269][-2:-1.448, -1:-3.943, 0:88.291, 1:923.941, 2:-1.701, 3:3.719, 4:0.594][-3:-2.916, -2:2.039, -1:-2.848, 0:-674.984, 1:-1.608, 2:0, 3:2.888][-3:0.830, -2:2.784, -1:3.067, 0:-1.097, 1:1.613, 2:-2.429](llllllllffffffffIIIIIX, , , , , , LIIIIIX[S:-0.618]), , , , rccccfffffIIIIIX[S:-429.136])~ info_timestamp:978307200.0 info_author:Pete Mandik info_author_ispublic:1 info_email:mandikp@wpunj.edu info_email_ispublic:1 info: info_origin:2 info_how_created:~ I wanted to prove that a 3-D food finder (a deep water swimming foodfinder) could be made that had only three smell sensors. Trishark's morphology and neural topology were hand coded. Mutations were allowed to change only connection weights. Trishark was seleected for distance in an environment with progressively less food.~ info_performance:~ Test him out in world size of 50, with teleport, water depth 10, auto feed 2, ball energy 1000. His ability to orient toward the stimulus source is quite robust. ~ num:126 instances:0 data: org: name:Swimmer, f4 genotype:/*4*/rr#6CN|[G:0.5]>>X info_timestamp:946684800.0 info_author:Unknown info_author_ispublic:1 info_email: info_email_ispublic:0 info:Swimmer in f4 genetic encoding. info_origin:2 info_how_created:~ Created manually and evolved a bit. Note the '#6' gene which grows six independent control muscles.~ info_performance: num:127 instances:0 data: org: name:Rowboat genotype:~ ffwwX[*][Sin, -1:0.028,t:0.441,t:0.5](, wwlllfflX(, wwffX), wwwwwrrffX(wwrrllffX[@-1:1.605,s:0](cwwLLFFX[|-2:8.418,fo:0.04], , , CwwLLFFX[|-3:4.423,s:-0.038]), wwwwwrrffX(wwllllffX(wwffX, ), , wwffX, , wwllllffX(, wwffX)), wwwwwwffX), wwllllffX(wwffX, ), )~ info_timestamp:1071100800.0 info_author:Brad Fletcher info_author_ispublic:1 info_email: info_email_ispublic:0 info:Boat that rows across the top of the water. info_origin:2 info_how_created:~ Designed the structure and neural net. Evolved only the weights and properties of the neurons. Was unsure if Ff modifiers applied to water.~ info_performance:~ Rows like a kayaker across the surface of the water. Seems to be the top speed for this particular design. I plan on creating more 'boat' frams. This creature was awarded.~ num:278 instances:0 data: org: name:Trisnake genotype:~ MMMMMXlMMMXlllMMMMMX[|1:2.951]lllMMMMMX[|1:2.721]lllMMMMMMMX[|1:2.951]lllMMMMMX[|1:2.721]lllMMMlMMMMMX[|1:2.951]lllMMMMMX[|1:2.721,in:0.8]lllllMMMMMX[|1:0.887]lllMMMMMX[|1:0.4,fo:0.04]lllMMMMMX[|1:0.68]lllMMMMlMMMMMX[|1:3.132]lllMMMMMX[|1:2.303]lllMMMMMX[|1:2.482]lllMMMMMX[|1:2.684]lllMMMMMX[|1:0.887]llMMMMMX[|1:2.972]lllMMMMMX[|1:1.394]lllMMMMMX[|3:1][0:1.387, 2:-3.051, 1:-1.827]MMX[|1:0.887]lllMMMMMX[|1:1]lllMMMMMX[|1:1.394]lllMMMMlMMMMMX[|1:2.721]lllMMMMMX[|1:1.901]lllMMMMMMMX[|1:3.567]lllMMMMMX[|1:0.026]lllMMMMMX[|1:1]lllMMMMMX[|1:1.394]lllMMMMlMMMMllMMMMMX[|1:1]lllMMMMMMXMMMMMMMMX[|1:0.228]lllMMMMMX[|1:1.394]lllMMMMMX[|3:1][0:1.387, 2:-3.051, 1:-1.827][-1:1.061, 0:2.351, 1:-0.562][-1:0.756, -2:2.003, 0:-3.094]RRMMMMMX[|3:-2.183, 4:-1.574, 5:2.803, 6:-1.685,s:0]RRMMMMMX[|2:1.202, 3:0.334, 4:0.018, 5:3.481](RCCCCfffffIIIIIX[S:-1.099,in:0.8], , , , rrlllllllllIIIIIX[-1:-2.552, 0:-1.012, 1:4.480, 2:1.608, 3:4.701, 4:0, 5:4.269][-2:-1.448, -1:-3.943, 0:88.291, 1:923.941, 2:-1.701, 3:3.719, 4:0.594][-3:-2.916, -2:2.039, -1:-2.848, 0:-10, 1:-1.608, 2:0, 3:2.888][-3:0.830, -2:2.784, -1:3.067, 0:-1.097, 1:1.613, 2:-2.429](llllllllffffffffIIIIIX, , , , , , LIIIlllffffffffIIIIIX, , , , , , LIIIIIX[S:-0.618]), , , , rccccfffffIIIIIX[S:-10,in:0.8])~ info_timestamp:1078704000.0 info_author: info_author_ispublic:0 info_email: info_email_ispublic:0 info:Longer, curving up/down Trishark. info_origin:4 info_how_created:~ I started with the swimming genotypes and evolved for maximum horizontal velocity.~ info_performance:~ It swims around but curves up/down when it reaches the bottom/surface. It seems to work best starting at the surface. This creature was awarded.~ num:285 instances:0 data: org: name:Primitive Jellyfish genotype:~ //0 p:y=-2 p: p:1, -1 p:y=-1, 1 p:-1, -1 p:y=-1, -1 j:0, 1 j:1, 2 j:1, 3 j:1, 4 j:1, 5 n:j=1, d=| n:j=2, d=@:p=1 n:j=3, d=| n:j=4, d=@ n:d="N:in=0.89236, fo=0.808508, si=2, s=0" n:d="Sin:f0=0.061, t=0.117" n:d=* c:0, 4, -0.25 c:1, 4, 0.25 c:2, 4, 0.25 c:3, 4, -0.25 c:4, 5, 5.667 c:4, 6, 2.124 c:4, 4, 1.746 ~ info_timestamp:1089590400.0 info_author:Sean Bartell info_author_ispublic:1 info_email: info_email_ispublic:0 info:A simple jellyfish-like creature info_origin:2 info_how_created:~ Designed by hand, then neural network further evolved (though only one connection was added).~ info_performance:It acts like a horizontal jellyfish...sort of. Use in water! num:311 instances:0 data: org: name:Jellyfish #4 genotype:~ //0 p:x=0, y=0, z=0 p:x=1, y=0, z=-1 p:x=-1, y=0, z=-1 p:x=0, y=1, z=-1 p:x=0, y=-1, z=-1 p:x=0.7, y=0.7, z=-1 p:x=-0.7, y=0.7, z=-1 p:x=0.7, y=-0.7, z=-1 p:x=-0.7, y=-0.7, z=-1 j:0, 1 j:0,2 j:0,3 j:0,4 j:0,5 j:0,6 j:0,7 j:0,8 j:1,5 j:5,3 j:3,6 j:6,2 j:2,8 j:8,4 j:4,7 j:7,1 p:x=1, y=0, z=-1 p:x=-1, y=0, z=-1 p:x=0, y=1, z=-1 p:x=0, y=-1, z=-1 p:x=0.7, y=0.7, z=-1 p:x=-0.7, y=0.7, z=-1 p:x=0.7, y=-0.7, z=-1 p:x=-0.7, y=-0.7, z=-1 j:1, 9, dx=0.25, dz=-1 j:2, 10, dx=-0.25, dz=-1 j:3, 11, dx=0.25, dz=-1 j:4, 12, dx=-0.25, dz=-1 j:5, 13, dx=0.25, dz=-1 j:6, 14, dx=-0.25, dz=-1 j:7, 15, dx=0.25, dz=-1 j:8, 16, dx=-0.25, dz=-1 p:x=1.25, y=0, z=-2 p:x=-1.25, y=0, z=-2 p:x=0.25, y=1, z=-2 p:x=-0.25, y=-1, z=-2 p:x=0.95, y=0.7, z=-2 p:x=-0.95, y=0.7, z=-2 p:x=0.95, y=-0.7, z=-2 p:x=-0.95, y=-0.7, z=-2 j:9, 17, dx=0, dy=0.2, dz=-0.5 j:10, 18, dx=0, dy=-0.2, dz=-0.5 j:11, 19, dx=0, dy=0.2, dz=-0.5 j:12, 20, dx=0, dy=-0.2, dz=-0.5 j:13, 21, dx=0, dy=0.2, dz=-0.5 j:14, 22, dx=0, dy=-0.2, dz=-0.5 j:15, 23, dx=0, dy=0.2, dz=-0.5 j:16, 24, dx=0, dy=-0.2, dz=-0.5 p:x=1.25, y=0.2, z=-2.5 p:x=-1.25, y=-0.2, z=-2.5 p:x=0.25, y=1.2, z=-2.5 p:x=-0.25, y=-1.2, z=-2.5 p:x=0.95, y=0.9, z=-2.5 p:x=-0.95, y=0.5, z=-2.5 p:x=0.95, y=-0.5, z=-2.5 p:x=-0.95, y=-0.9, z=-2.5 j:17, 25, dx=0.1, dy=0, dz=-0.25 j:18, 26, dx=-0.1, dy=0, dz=-0.25 j:19, 27, dx=0.1, dy=0, dz=-0.25 j:20, 28, dx=-0.1, dy=0, dz=-0.25 j:21, 29, dx=0.1, dy=0, dz=-0.25 j:22, 30, dx=-0.1, dy=0, dz=-0.25 j:23, 31, dx=0.1, dy=0, dz=-0.25 j:24, 32, dx=-0.1, dy=0, dz=-0.25 j:25, 29 j:29,27 j:27,30 j:30,26 j:26, 32 j:32,28 j:28,31 j:31,25 ~ info_timestamp:1098230400.0 info_author:Jerzy Blaszczynski info_author_ispublic:1 info_email: info_email_ispublic:0 info:A jellyfish, at least I hope it looks like one :) info_origin:1 info_how_created: info_performance:~ An example of a framstick that can swim, though I designed it considering more its look than behaviour.~ num:314 instances:0 data: org: name:Jellyfish #5 genotype:~ //0 p:x=0, y=0, z=0 p:x=1, y=0, z=-1 p:x=-1, y=0, z=-1 p:x=0, y=1, z=-1 p:x=0, y=-1, z=-1 p:x=0.7, y=0.7, z=-1 p:x=-0.7, y=0.7, z=-1 p:x=0.7, y=-0.7, z=-1 p:x=-0.7, y=-0.7, z=-1 j:0, 1 j:0,2 j:0,3 j:0,4 j:0,5 j:0,6 j:0,7 j:0,8 j:1,5 j:5,3 j:3,6 j:6,2 j:2,8 j:8,4 j:4,7 j:7,1 p:x=1, y=0, z=-2 p:x=-1, y=0, z=-2 p:x=0, y=1, z=-2 p:x=0, y=-1, z=-2 p:x=0.7, y=0.7, z=-2 p:x=-0.7, y=0.7, z=-2 p:x=0.7, y=-0.7, z=-2 p:x=-0.7, y=-0.7, z=-2 j:1, 9 j:2, 10 j:3, 11 j:4, 12 j:5, 13 j:6, 14 j:7, 15 j:8, 16 j:9,13 j:13, 11 j:11, 14 j:14, 10 j:10, 16 j:16, 12 j:12, 15 j:15,9 p:x=0, y=0, z=-3 j:17, 9 j:17, 10 j:17, 11 j:17, 12 j:17, 13 j:17, 14 j:17, 15 j:17, 16 p:x=0.1, y=0, z=-4 p:x=-0.1, y=0, z=-4 p:x=0, y=0.1, z=-4 p:x=0, y=-0.1, z=-4 p:x=0.07, y=0.07, z=-4 p:x=-0.07, y=0.07, z=-4 p:x=0.07, y=-0.07, z=-4 p:x=-0.07, y=-0.07, z=-4 j:17, 18 j:17, 19 j:17, 20 j:17, 21 j:17, 22 j:17, 23 j:17, 24 j:17, 25 j:18, 22 j:22, 20 j:20,23 j:23,19 j:19,25 j:25,21 j:21, 24 j:24,18 p:x=0.5, y=0, z=-5 p:x=-0.5, y=0, z=-5 p:x=0, y=0.5, z=-5 p:x=0, y=-0.5, z=-5 j:18, 26 j:19,27 j:20, 28 j:21,29 p:x=0.5, y=0, z=-5 p:x=-0.5, y=0, z=-5 p:x=0, y=0.5, z=-5 p:x=0, y=-0.5, z=-5 j:26,30, dx=-0.5, dz=-0.25 j:27,31, dx=0.5, dz=-0.25 j:28,32, dx=-0.5, dz=-0.25 j:29,33, dx=0.5, dz=-0.25 p:x=1, y=0, z=-5.25 p:x=-1, y=0, z=-5.25 p:x=0.5, y=0.5,z=-5.25 p:x=-0.5, y=-0.5,z=-5.25 j:30, 34, dx=0.75, dz=-1 j:31,35, dx=-0.75, dz=-1 j:32,36, dx=0.75, dz=-1 j:33,37, dx=-0.75, dz=-1~ info_timestamp:1098230400.0 info_author:Jerzy Blaszczynski info_author_ispublic:1 info_email: info_email_ispublic:0 info:Jellyfish #4 extended info_origin:1 info_how_created: info_performance:~ An example of a framstick that can swim, though I designed it considering rather its look than behavior.~ num:315 instances:0 data: org: name:Rowing yawl genotype:~ LLwwwwwwX[*][Sin, f0:0.0, -1:0.1][-1:1.0][D, -2:1.0][-1:100.0] wwX( RRllllllwwwwX(,,RRRRwwwwllllX[@, p:1.0, -3:-0.3] (,,LX[|, p:1.0, -2:0.2 ]) ) ,, RRllllllwwwwX(,,rrrrwwwwllllX[@, p:1.0, -5:0.3 ] (,,LX[|, p:1.0, -4:0.2 ])) )~ info_timestamp:1100822400.0 info_author:Beniamin Dziurdza info_author_ispublic:1 info_email: info_email_ispublic:0 info:Please adjust the water level :) info_origin:1 info_how_created: info_performance:~ Velocity optimization is still possible! The D neuron is used to obtain the cycle shift for muscles.~ num:316 instances:0 data: org: name:Four legs rowing genotype:~ (wX[*][Sin, f0:0.02][D,-1:50][D,-1:50][D,-1:50] ( wllllllllllllllllllllX[-4:1][-4:1][|, -2:1,p:1] wllllllllllllllllllllX[-02:100][*][-2:1,-1:1][|, -1:-1, p:1] wllllllllllllllllllllX[-06:100][*][-2:1,-1:1][|, -1:1, p:1] wllllllllllllllllllllX[-10:100][*][-2:1,-1:1][|, -1:-1, p:1] wllllllllllllllllllllX[-14:100][*][-2:1,-1:1][|, -1:1, p:1] wllllllllllllllllllllX[-18:100][*][-2:1,-1:1][|, -1:-1, p:1], wXwX( wllllllllllllllllllllX[-25:1][-25:1][|, -2:1,p:1] wllllllllllllllllllllX[-02:100][*][-2:1,-1:1][|, -1:-1, p:1] wllllllllllllllllllllX[-06:100][*][-2:1,-1:1][|, -1:1, p:1] wllllllllllllllllllllX[-10:100][*][-2:1,-1:1][|, -1:-1, p:1] wllllllllllllllllllllX[-14:100][*][-2:1,-1:1][|, -1:1, p:1] wllllllllllllllllllllX[-18:100][*][-2:1,-1:1][|, -1:-1, p:1] ,X, wllllllllllllllllllllX[-48:1][-48:1][|, -2:-1,p:1] wllllllllllllllllllllX[-02:100][*][-2:1,-1:1][|, -1:1, p:1] wllllllllllllllllllllX[-06:100][*][-2:1,-1:1][|, -1:-1, p:1] wllllllllllllllllllllX[-10:100][*][-2:1,-1:1][|, -1:1, p:1] wllllllllllllllllllllX[-14:100][*][-2:1,-1:1][|, -1:-1, p:1] wllllllllllllllllllllX[-18:100][*][-2:1,-1:1][|, -1:1, p:1] ), wllllllllllllllllllllX[-73:1][-73:1][|, -2:-1,p:1] wllllllllllllllllllllX[-02:100][*][-2:1,-1:1][|, -1:1, p:1] wllllllllllllllllllllX[-06:100][*][-2:1,-1:1][|, -1:-1, p:1] wllllllllllllllllllllX[-10:100][*][-2:1,-1:1][|, -1:1, p:1] wllllllllllllllllllllX[-14:100][*][-2:1,-1:1][|, -1:-1, p:1] wllllllllllllllllllllX[-18:100][*][-2:1,-1:1][|, -1:1, p:1]))~ info_timestamp:1100822400.0 info_author:Pawel Kedziora info_author_ispublic:1 info_email: info_email_ispublic:0 info: info_origin:1 info_how_created:The creature was created manually. info_performance:~ I was going to create a creature which moves using legs. Each leg tries to grab water when it is open. After that, it folds up and conducts backward movement. It consists of 4 legs. It looks interesting but is not fast. After optimization, it was very fast but the movement was no longer symmetrical.~ num:320 instances:0 data: org: name:Memory Anemone genotype:~ ((WWWX, , WWWX), , lllllllllRRWWWX[*][*][Ch,-2:1,-1:1][ChMux,-1:1,3:.2] [N,1:.00005,0:1,s:.02][N,-1:1,1:.5][Thr, lo:0, hi:1, t:.31, 1:1][N,7:1,-3:-15,-4:1](WWWX, , rrXX[|, -2:1,p:.75](rrXrrX[|, 1:1][Delay, -4:1,t:200]llllrrX(lllX[|, -5:-.666], lllX[|, -6:.666]), lllllllllwwwwrrX[|, -7:1][S], rrXrrX[|, 1:1][Delay, -10:1,t:200]llllrrX(lllX[|, -11:-.666], lllX[|, -12:.666])), , WWWX))~ info_timestamp:1132012800.0 info_author:Stephen Morrow info_author_ispublic:1 info_email: info_email_ispublic:0 info:A sea anemone with protective response and memory. info_origin:1 info_how_created:Designed entirely. info_performance:~ The anemone (always simulate underwater) features a protective collapse response that is activated when anemone's smell neuron reaches 0.5. The response features a memory loop which gains value when the response is activated and slowly returns to baseline when the response is inactive. The loop inhibits future responses (a trained anemone might require a smell of 0.8 or more) thus modeling the rudimentary memory function of classical conditioning with Framsticks. Let it fall to the bottom and feed it with energy. This creature was awarded.~ num:408 instances:0 data: org: name:Sweeper genotype:~ LLLaaiiaiiiQwwWrLaaLLaaiiiQwwWrLaawWrLiwww(rLLLLaamiiiiiwwwww(,,iiwwwwww(Aw(I(LmmiQwww(m(, ( , rFwwww(m(,Rr((,, , rFiLrSM(, rmsIIwwwwwwXX[@, 8:3.619, p:0.784, p:1, p:1, p:1, p:1, p:1,p:1]X[*][@,p:1]XX[G][S][@]), , RCFX[S][|, 1:-3.801, p:0.01, p:0.982, r:1,r:1][G] , FX[@][|, 1:-3.047, p:0.336, p:0.94, r:1][G],,), ) ), ,L(aFX[|, 1:-6.823, p:0.132, p:0.98, r:1][G],))), ) ) ),aFwX[|, 1:-9.323, p:0.122, p:0.979, r:0.899][G]llAsIX)) ) )~ info_timestamp:1138060800.0 info_author:Peter Schoffhauzer info_author_ispublic:1 info_email:scoofy@inf.elte.hu info_email_ispublic:1 info:Really fast creature swimming on the surface. info_origin:3 info_how_created:~ Evolved naturally. In 2015, Maciej Komosinski removed the "m" modifiers so that muscles do not warn about too low power (they were \~0.001 so less than 0.01).~ info_performance:~ One of the fastest swimming creatures in Framsticks. Velocity around 0.06. It moves its tentacles above the surface of the water, like swimmers do, thus reaching really good velocity performance.~ num:423 instances:0 data: org: name:Surface Food Finding Snake genotype:~ wX[Delay,t:25,11:1][N,fo:1,in:0,-1:2,26:1]wX[|,p:1,-1:1][Delay,t:14,8:1][N,fo:1,in:0,-1:2,23:1]wX[|,p:1,-1:1][Delay,t:6,5:1][N,fo:1,in:0,-1:2,20:1]wX[|,p:1,-1:1]wIIX[N,fo:1,in:0,2:2,18:1][|,p:1,-1:0.8][Sin,f0:0.12][Thr,-1:1,t:0,lo:-1,hi:1][D,-2:1][Thr,-1:1,t:0,lo:-1,hi:1][Thr,-1:05,-3:05,t:0.6,lo:0,hi:1][Thr,-2:-0.5,-4:0.5,t:0.6,lo:0,hi:1][Thr,-3:-0.5,-5:-0.5,t:0.6,lo:0,hi:1][Thr,-4:0.5,-6:-0.5,t:0.6,lo:0,hi:1][Thr,2:1,t:-0.00001,lo:1,hi:0][Thr,1:1,t:0.00001,lo:0,hi:1][D,1:1][S][Thr,-3:0.5,-8:0.5,t:0.6,lo:0,hi:1][Thr,-5:0.5,-8:0.5,t:0.6,lo:0,hi:1][Thr,-5:0.5,-8:0.5,t:0.6,lo:0,hi:1][Thr,-7:0.5,-8:0.5,t:0.6,lo:0,hi:1][N,fo:1,in:0,-4:-1,-3:-1,-2:1,-1:1]~ info_timestamp:1303776000.0 info_author:Eric Strand info_author_ispublic:1 info_email: info_email_ispublic:0 info:Water surface food finder. info_origin:1 info_how_created:~ I wanted to create a swimmer that could find food on the surface, but was more hydrodynamic than was allowable with multiple sensors.~ info_performance:~ It swims on the water's surface in a wave pattern, and uses the motion of its one smell sensor to detect and orient toward food.~ num:451 instances:0 data: