1 00:00:12,080 --> 00:00:08,780 okay welcome to the afternoon / 2 00:00:13,940 --> 00:00:12,090 afternoon session of at broadcom 2016 my 3 00:00:16,670 --> 00:00:13,950 name is Tessa Fisher I'm a PhD student 4 00:00:19,550 --> 00:00:16,680 at Arizona State University and I will 5 00:00:21,620 --> 00:00:19,560 be doing the warm-up talks for the 6 00:00:24,050 --> 00:00:21,630 origin of life and during computation 7 00:00:25,609 --> 00:00:24,060 sessions and then also chairing half of 8 00:00:26,929 --> 00:00:25,619 the theory computation session before I 9 00:00:30,109 --> 00:00:26,939 have to score your way to the airport to 10 00:00:33,620 --> 00:00:30,119 go to another conference um so anyways 11 00:00:34,910 --> 00:00:33,630 without further ado so the fundamental 12 00:00:40,069 --> 00:00:34,920 questions are going to be talking this 13 00:00:43,130 --> 00:00:40,079 afternoon or basically know what is life 14 00:00:45,290 --> 00:00:43,140 and how do we get from non-life to life 15 00:00:47,540 --> 00:00:45,300 how do we go from inanimate manner to 16 00:00:50,150 --> 00:00:47,550 something that we can all more or less 17 00:00:52,250 --> 00:00:50,160 agree is a living organism admittedly 18 00:00:55,420 --> 00:00:52,260 what exactly a living organism is is 19 00:00:58,369 --> 00:00:55,430 also up to debate which we'll get into 20 00:00:59,810 --> 00:00:58,379 so for this afternoon anyways there's at 21 00:01:03,049 --> 00:00:59,820 least two major purchase we're looking 22 00:01:07,100 --> 00:01:03,059 at one is based off of prebiotic 23 00:01:08,390 --> 00:01:07,110 chemistry which is sort of the some of 24 00:01:12,950 --> 00:01:08,400 the stuff that we saw earlier today as 25 00:01:15,410 --> 00:01:12,960 well and then also information dairy so 26 00:01:17,300 --> 00:01:15,420 for the first approach I'll be talking 27 00:01:18,740 --> 00:01:17,310 about is going to be proud of chemistry 28 00:01:20,780 --> 00:01:18,750 because that's a little more concrete it 29 00:01:24,020 --> 00:01:20,790 doesn't get quite as mathematical and 30 00:01:25,910 --> 00:01:24,030 nebulous and that's at its core is 31 00:01:27,469 --> 00:01:25,920 basically the idea of saying okay how do 32 00:01:28,850 --> 00:01:27,479 we go from these elements carbon 33 00:01:30,859 --> 00:01:28,860 hydrogen oxygen nitrogen phosphorus 34 00:01:34,850 --> 00:01:30,869 sulfur and phosphorus plus some trace 35 00:01:36,770 --> 00:01:34,860 elements to simple organic compounds and 36 00:01:40,460 --> 00:01:36,780 then from that living systems sometimes 37 00:01:43,490 --> 00:01:40,470 referred to as abiogenesis and sort of 38 00:01:44,990 --> 00:01:43,500 the classic experiment for prebiotic 39 00:01:46,609 --> 00:01:45,000 chemistry is the miller-urey experiment 40 00:01:49,160 --> 00:01:46,619 which i'm sure most of you have heard of 41 00:01:52,850 --> 00:01:49,170 but if you haven't or need a refresher 42 00:01:56,030 --> 00:01:52,860 the basic idea is that you create this 43 00:01:58,399 --> 00:01:56,040 glass apparatus fill it with a series of 44 00:02:00,410 --> 00:01:58,409 reducing gases methane ammonia water 45 00:02:04,060 --> 00:02:00,420 vapor and hydrogen and then run it 46 00:02:07,310 --> 00:02:04,070 through a system which heats it cools it 47 00:02:08,359 --> 00:02:07,320 subjects it to electrical discharge 48 00:02:10,729 --> 00:02:08,369 which is supposed to simulate lightning 49 00:02:12,110 --> 00:02:10,739 strikes the whole idea is basically are 50 00:02:14,390 --> 00:02:12,120 simulating and 51 00:02:16,369 --> 00:02:14,400 the earth environments of you know 52 00:02:17,630 --> 00:02:16,379 heating and cooling and changes in 53 00:02:19,399 --> 00:02:17,640 weather and tides and all stuff like 54 00:02:21,589 --> 00:02:19,409 that and the cool thing about this is if 55 00:02:25,190 --> 00:02:21,599 you let it run for you know 24 hours or 56 00:02:30,080 --> 00:02:25,200 so at the end you get down here this 57 00:02:32,869 --> 00:02:30,090 nice monkey collection of organic brown 58 00:02:35,180 --> 00:02:32,879 goo full chock full of organic molecules 59 00:02:36,619 --> 00:02:35,190 now the problem with this as it turns 60 00:02:38,630 --> 00:02:36,629 out and this was a major breakthrough 61 00:02:40,640 --> 00:02:38,640 when it was discovered but it's less so 62 00:02:41,899 --> 00:02:40,650 now is that we now have reason to 63 00:02:43,220 --> 00:02:41,909 believe that the atmosphere the early 64 00:02:45,020 --> 00:02:43,230 Earth actually didn't look much like 65 00:02:47,030 --> 00:02:45,030 this it was probably more nitrogen and 66 00:02:50,199 --> 00:02:47,040 carbon dioxide not reducing compounds 67 00:02:52,880 --> 00:02:50,209 like methane and ammonia so obviously 68 00:02:55,039 --> 00:02:52,890 we're going to rethink how proud but 69 00:02:56,240 --> 00:02:55,049 prebiotic chemistry works because the 70 00:02:57,920 --> 00:02:56,250 nice thing about a reducing environment 71 00:02:59,949 --> 00:02:57,930 is that it does lend itself very well 72 00:03:03,170 --> 00:02:59,959 for the reduction of organic molecules 73 00:03:04,759 --> 00:03:03,180 so we got to look at specific niches 74 00:03:07,809 --> 00:03:04,769 instead of trying to assume that it's 75 00:03:10,220 --> 00:03:07,819 just sort of this vast primordial soup 76 00:03:11,509 --> 00:03:10,230 everywhere on the planet and there have 77 00:03:13,729 --> 00:03:11,519 been a lot of different environments 78 00:03:15,860 --> 00:03:13,739 that have been suggested for this first 79 00:03:17,390 --> 00:03:15,870 one hydrothermal vents you have very 80 00:03:19,900 --> 00:03:17,400 reducing conditions to the methane and 81 00:03:22,699 --> 00:03:19,910 hydrogen sulfide admit it you've got 82 00:03:26,229 --> 00:03:22,709 very strong kennel temperature gradients 83 00:03:30,770 --> 00:03:26,239 between hot and cold you know from over 84 00:03:32,390 --> 00:03:30,780 boiling to near freezing and you also 85 00:03:33,830 --> 00:03:32,400 get a lot of interesting geochemistry 86 00:03:36,589 --> 00:03:33,840 that happens here which will give you a 87 00:03:38,750 --> 00:03:36,599 good feedstock to build molecules and 88 00:03:40,250 --> 00:03:38,760 you also will get later they also got 89 00:03:43,250 --> 00:03:40,260 some interesting gradients second set up 90 00:03:46,039 --> 00:03:43,260 as well another one that's been talked 91 00:03:48,110 --> 00:03:46,049 about is ice ice is really good at 92 00:03:50,900 --> 00:03:48,120 concentrating things because as water 93 00:03:52,430 --> 00:03:50,910 freezes the impurities tend to be the 94 00:03:54,500 --> 00:03:52,440 last things that freeze and therefore 95 00:03:56,599 --> 00:03:54,510 you get them in little pockets so that's 96 00:03:58,430 --> 00:03:56,609 really good for if you wanna force 97 00:04:00,890 --> 00:03:58,440 reactions have ordinarily wouldn't occur 98 00:04:02,360 --> 00:04:00,900 by simply increasing the concentration 99 00:04:05,270 --> 00:04:02,370 so much that they suddenly become 100 00:04:07,250 --> 00:04:05,280 thermodynamically favorable clay 101 00:04:09,379 --> 00:04:07,260 crystals and molecules have also been 102 00:04:11,089 --> 00:04:09,389 suggested as a potential matrix or 103 00:04:12,319 --> 00:04:11,099 lattice for the formation of organic 104 00:04:15,129 --> 00:04:12,329 molecules I also have some nifty 105 00:04:19,640 --> 00:04:15,139 self-replicating properties which have 106 00:04:21,050 --> 00:04:19,650 been given some interest and then my 107 00:04:22,850 --> 00:04:21,060 personal favorite the radioactive beach 108 00:04:25,130 --> 00:04:22,860 and this is a newer theory that came out 109 00:04:25,640 --> 00:04:25,140 year or two ago which is the idea is 110 00:04:27,020 --> 00:04:25,650 that the 111 00:04:29,659 --> 00:04:27,030 early earth would have been much more 112 00:04:31,370 --> 00:04:29,669 volcanically active and much richer in 113 00:04:33,379 --> 00:04:31,380 radioactive elements since most of them 114 00:04:35,210 --> 00:04:33,389 have decayed between now and then and 115 00:04:36,890 --> 00:04:35,220 there for all these radioactive 116 00:04:39,409 --> 00:04:36,900 sediments would have gotten concentrated 117 00:04:41,420 --> 00:04:39,419 at the high-water line of the beaches of 118 00:04:43,400 --> 00:04:41,430 planet Earth and you would have had 119 00:04:44,810 --> 00:04:43,410 essentially this very energetic zone 120 00:04:46,370 --> 00:04:44,820 where all sorts of really radio 121 00:04:47,659 --> 00:04:46,380 chemistry would be going on don't know 122 00:04:52,520 --> 00:04:47,669 how likely it is but I thought it was 123 00:04:53,930 --> 00:04:52,530 really cool so okay we've got places 124 00:04:56,870 --> 00:04:53,940 where we can make really nifty organic 125 00:04:58,820 --> 00:04:56,880 compounds now what well like I said we 126 00:05:01,909 --> 00:04:58,830 don't exactly have a great definition or 127 00:05:04,430 --> 00:05:01,919 agreed-upon definition anyways for what 128 00:05:06,260 --> 00:05:04,440 a living organism is but we do have a 129 00:05:08,570 --> 00:05:06,270 fair number of traits that most people 130 00:05:11,779 --> 00:05:08,580 can agree most living organisms so far 131 00:05:14,420 --> 00:05:11,789 as we know have replication metabolism 132 00:05:16,250 --> 00:05:14,430 and compartmentalization and there is a 133 00:05:17,600 --> 00:05:16,260 bit of a debate in the origin of life 134 00:05:21,100 --> 00:05:17,610 improve a lot of chemistry community 135 00:05:23,960 --> 00:05:21,110 about which came first for replication 136 00:05:26,270 --> 00:05:23,970 you have compounds called auto catalysts 137 00:05:29,240 --> 00:05:26,280 which are essentially chemical compounds 138 00:05:30,560 --> 00:05:29,250 that can catalyze their own formation 139 00:05:32,839 --> 00:05:30,570 you know essentially replicate 140 00:05:34,760 --> 00:05:32,849 themselves in a very simple manner one 141 00:05:37,550 --> 00:05:34,770 auto catalyst of particular interest is 142 00:05:40,040 --> 00:05:37,560 a RNA which is still used nor 143 00:05:42,529 --> 00:05:40,050 biochemistry to this day but has the 144 00:05:45,950 --> 00:05:42,539 nifty feature of essentially being able 145 00:05:47,899 --> 00:05:45,960 to synthesize more of itself so 146 00:05:50,990 --> 00:05:47,909 essentially it's very easy for to 147 00:05:52,219 --> 00:05:51,000 self-replicate and it's strongly 148 00:05:54,110 --> 00:05:52,229 suspected that was probably the 149 00:05:55,640 --> 00:05:54,120 forerunner for the more stable and 150 00:05:58,100 --> 00:05:55,650 harder to replicate DNA that we 151 00:05:59,810 --> 00:05:58,110 currently use although however it's also 152 00:06:01,879 --> 00:05:59,820 been argued that from an evolutionary 153 00:06:03,320 --> 00:06:01,889 point of view just being able an RNA 154 00:06:05,689 --> 00:06:03,330 molecule that could turn out more our 155 00:06:08,330 --> 00:06:05,699 name allah cules may not exactly be 156 00:06:09,950 --> 00:06:08,340 advantageous if you don't actually hook 157 00:06:12,589 --> 00:06:09,960 it up to something like say metabolism 158 00:06:13,969 --> 00:06:12,599 which brings us to the next part so 159 00:06:16,070 --> 00:06:13,979 metabolism is basically being able to 160 00:06:17,180 --> 00:06:16,080 take energy in your environment in one 161 00:06:21,140 --> 00:06:17,190 form or another and using it to 162 00:06:25,370 --> 00:06:21,150 synthesize more compounds or replicate 163 00:06:26,779 --> 00:06:25,380 or whatever and there are people who 164 00:06:28,100 --> 00:06:26,789 believe that metabolism actually came 165 00:06:29,750 --> 00:06:28,110 first one not I always thought was 166 00:06:30,950 --> 00:06:29,760 particularly cool and some of the people 167 00:06:33,080 --> 00:06:30,960 in this room without she worked on it 168 00:06:34,339 --> 00:06:33,090 was like I mentioned at vents you can 169 00:06:36,110 --> 00:06:34,349 have these really interesting gradients 170 00:06:38,269 --> 00:06:36,120 that set up and in particular in some 171 00:06:39,380 --> 00:06:38,279 cases depending on how acidic or basic 172 00:06:41,300 --> 00:06:39,390 the 173 00:06:43,340 --> 00:06:41,310 vent fluid is you can end up getting 174 00:06:48,020 --> 00:06:43,350 these weird electrochemical gray or onyx 175 00:06:49,370 --> 00:06:48,030 gradients which are of real interest if 176 00:06:52,490 --> 00:06:49,380 you have background in biology because 177 00:06:54,620 --> 00:06:52,500 pretty much all living organisms on the 178 00:06:56,120 --> 00:06:54,630 planet are ultimately powered by these 179 00:06:58,580 --> 00:06:56,130 sorts of electrochemical gradients 180 00:06:59,870 --> 00:06:58,590 protein pumps and whatnot so it's kind 181 00:07:01,550 --> 00:06:59,880 of like well maybe this is where that 182 00:07:03,470 --> 00:07:01,560 started that you have these naturally 183 00:07:05,930 --> 00:07:03,480 occurring gradients that molecules 184 00:07:08,330 --> 00:07:05,940 learned for lack of a better term how to 185 00:07:10,820 --> 00:07:08,340 harvest and use that as sort of a way to 186 00:07:12,440 --> 00:07:10,830 power the construction of more and more 187 00:07:14,440 --> 00:07:12,450 elaborate molecules and eventually ones 188 00:07:16,970 --> 00:07:14,450 that were capable self-replication 189 00:07:18,590 --> 00:07:16,980 lastly compartmentalization obviously a 190 00:07:20,780 --> 00:07:18,600 major part of being a living organism is 191 00:07:23,000 --> 00:07:20,790 being able to separate you from the rest 192 00:07:24,650 --> 00:07:23,010 of the world or at least being able to 193 00:07:26,150 --> 00:07:24,660 control what comes in from your 194 00:07:27,950 --> 00:07:26,160 environment into you and what goes out 195 00:07:32,060 --> 00:07:27,960 otherwise you just kind of end up 196 00:07:33,560 --> 00:07:32,070 dissolving into this mess now the useful 197 00:07:35,270 --> 00:07:33,570 thing about commitment or the neat thing 198 00:07:37,190 --> 00:07:35,280 about compartmentalization is that it's 199 00:07:38,660 --> 00:07:37,200 actually pretty easy to set up there are 200 00:07:41,720 --> 00:07:38,670 a lot of organic compounds protein 201 00:07:43,850 --> 00:07:41,730 proteins for example that in aqueous 202 00:07:47,480 --> 00:07:43,860 conditions will kind of naturally just 203 00:07:48,770 --> 00:07:47,490 roll up in the nice little spheres so 204 00:07:50,090 --> 00:07:48,780 this one isn't quite as challenging as 205 00:07:51,980 --> 00:07:50,100 some of the other ones now of course 206 00:07:53,210 --> 00:07:51,990 there's no reason these ought to be 207 00:07:55,730 --> 00:07:53,220 mutually exclusive it's quite likely 208 00:07:57,740 --> 00:07:55,740 that they probably all happened more 209 00:08:00,200 --> 00:07:57,750 about the same time or in very close 210 00:08:02,210 --> 00:08:00,210 proximity to each other but you know 211 00:08:06,200 --> 00:08:02,220 still there they all had to have 212 00:08:08,870 --> 00:08:06,210 happened for us to get here so that's 213 00:08:10,910 --> 00:08:08,880 kind of like with the baseline starting 214 00:08:13,730 --> 00:08:10,920 point for okay we're now officially a 215 00:08:15,830 --> 00:08:13,740 living organism which brings this next 216 00:08:17,660 --> 00:08:15,840 point of okay how do we define what a 217 00:08:20,470 --> 00:08:17,670 living organism is anyways and for this 218 00:08:24,020 --> 00:08:20,480 we're gonna get a bit more abstract so 219 00:08:25,460 --> 00:08:24,030 the one technique that's getting more 220 00:08:27,710 --> 00:08:25,470 and more popular is using sort of 221 00:08:30,200 --> 00:08:27,720 approach that space top of information 222 00:08:32,719 --> 00:08:30,210 theory and it examines life and 223 00:08:35,180 --> 00:08:32,729 evolution and more abstract level you 224 00:08:36,680 --> 00:08:35,190 know mathematically but the advantage of 225 00:08:40,420 --> 00:08:36,690 that is that it allows us to quantify 226 00:08:43,010 --> 00:08:40,430 the emergence and evolution of life 227 00:08:45,380 --> 00:08:43,020 since it's all done mathematically on 228 00:08:48,410 --> 00:08:45,390 computers you can actually get specific 229 00:08:50,480 --> 00:08:48,420 figures and data as it goes through and 230 00:08:52,700 --> 00:08:50,490 if what is a particular interest to 231 00:08:54,950 --> 00:08:52,710 scientists to study this are complexity 232 00:08:58,220 --> 00:08:54,960 and emergence complexity is essentially 233 00:09:00,830 --> 00:08:58,230 the where a system is the sum is greater 234 00:09:02,900 --> 00:09:00,840 than the whole of its parts the sub 235 00:09:05,680 --> 00:09:02,910 components of the system do not have the 236 00:09:08,210 --> 00:09:05,690 same properties as the system as a whole 237 00:09:13,670 --> 00:09:08,220 emergence on the other hand is the 238 00:09:15,830 --> 00:09:13,680 tendency for in some systems for very 239 00:09:18,770 --> 00:09:15,840 simple rules to give rise to very 240 00:09:20,930 --> 00:09:18,780 complex behavior and phenomena a classic 241 00:09:23,540 --> 00:09:20,940 example is schooling fish none of these 242 00:09:25,220 --> 00:09:23,550 fish are leading the other fish they are 243 00:09:27,020 --> 00:09:25,230 all reacting to the same basic stimuli 244 00:09:28,790 --> 00:09:27,030 proximity to each other approximately 245 00:09:32,720 --> 00:09:28,800 predators proximity to food and they're 246 00:09:34,960 --> 00:09:32,730 all independently deciding where to move 247 00:09:37,490 --> 00:09:34,970 however when you put them together 248 00:09:40,520 --> 00:09:37,500 essentially all those small decisions 249 00:09:42,020 --> 00:09:40,530 add up to a much larger decision that is 250 00:09:44,030 --> 00:09:42,030 able to exhibit this really cool 251 00:09:46,340 --> 00:09:44,040 synchronized behavior and predator 252 00:09:47,750 --> 00:09:46,350 avoidance so that gives you an idea and 253 00:09:51,140 --> 00:09:47,760 emergence shows up all the times in 254 00:09:53,780 --> 00:09:51,150 biology you have it in ant high or ant 255 00:09:56,900 --> 00:09:53,790 nests and other social insects and gene 256 00:09:59,720 --> 00:09:56,910 regulatory networks in cells and more 257 00:10:02,780 --> 00:09:59,730 than likely in consciousness being the 258 00:10:03,950 --> 00:10:02,790 emergent property of how the neurons in 259 00:10:06,230 --> 00:10:03,960 our brain are wired although that's 260 00:10:09,260 --> 00:10:06,240 still debated that's a whole other 261 00:10:11,210 --> 00:10:09,270 conference another cool way to study 262 00:10:12,560 --> 00:10:11,220 these and I know they'll be at least one 263 00:10:16,250 --> 00:10:12,570 talk this afternoon we'll discuss it is 264 00:10:19,360 --> 00:10:16,260 a cellular automata which again looking 265 00:10:22,750 --> 00:10:19,370 at systems that can become emergent is 266 00:10:25,520 --> 00:10:22,760 these very deterministic binary systems 267 00:10:27,850 --> 00:10:25,530 that use simple discrete rules and can 268 00:10:30,410 --> 00:10:27,860 be you sort of as a toy model for life 269 00:10:32,090 --> 00:10:30,420 they aren't obviously quite as complex 270 00:10:34,700 --> 00:10:32,100 as living organisms but they have some 271 00:10:36,500 --> 00:10:34,710 of the same properties classic example 272 00:10:37,970 --> 00:10:36,510 of them is Conway's Game of Life which 273 00:10:40,750 --> 00:10:37,980 some of you may have heard of it's 274 00:10:43,130 --> 00:10:40,760 pretty simple you have a grid of squares 275 00:10:45,140 --> 00:10:43,140 very simple rules determine whether or 276 00:10:47,450 --> 00:10:45,150 not a particular square is black or 277 00:10:49,070 --> 00:10:47,460 white usually based on its proximity to 278 00:10:52,190 --> 00:10:49,080 other squares with depending if they're 279 00:10:53,960 --> 00:10:52,200 black or white and while the rule set is 280 00:10:56,180 --> 00:10:53,970 very simply content on the page you can 281 00:10:57,320 --> 00:10:56,190 get this really really complex and 282 00:10:59,020 --> 00:10:57,330 interesting phenomenon and 283 00:11:01,730 --> 00:10:59,030 self-replication sustaining 284 00:11:03,790 --> 00:11:01,740 self-sustaining and just all sorts of 285 00:11:05,449 --> 00:11:03,800 really cool stable and unstable states 286 00:11:06,829 --> 00:11:05,459 and 287 00:11:08,299 --> 00:11:06,839 as a result you know from these very 288 00:11:10,009 --> 00:11:08,309 simple rules you have a great platform 289 00:11:12,350 --> 00:11:10,019 to sort of mathematically analyze 290 00:11:14,329 --> 00:11:12,360 evolution emergent behavior and also 291 00:11:17,119 --> 00:11:14,339 phase transitions you know when you go 292 00:11:18,499 --> 00:11:17,129 from a very different regime for example 293 00:11:20,960 --> 00:11:18,509 one where you're not getting a whole lot 294 00:11:21,829 --> 00:11:20,970 of complexity to one where all of a 295 00:11:24,710 --> 00:11:21,839 sudden there's an explosion of 296 00:11:27,559 --> 00:11:24,720 complexity which like I said I will be 297 00:11:29,179 --> 00:11:27,569 discussed in one of our later talks and 298 00:11:32,179 --> 00:11:29,189 a lot of this like I said it's ground an 299 00:11:33,679 --> 00:11:32,189 information theory and the idea that 300 00:11:35,419 --> 00:11:33,689 life itself can be defined as an 301 00:11:37,970 --> 00:11:35,429 information theory or information 302 00:11:41,389 --> 00:11:37,980 process rather now information theorists 303 00:11:45,109 --> 00:11:41,399 love appropriating other Sciences words 304 00:11:47,030 --> 00:11:45,119 and giving them new definitions so for 305 00:11:48,530 --> 00:11:47,040 our for the purposes of an information 306 00:11:51,230 --> 00:11:48,540 scientist information specifically 307 00:11:54,109 --> 00:11:51,240 refers the reduction in uncertainty 308 00:11:57,109 --> 00:11:54,119 about a state of a particular component 309 00:11:59,569 --> 00:11:57,119 in a system transfer entropy for example 310 00:12:02,809 --> 00:11:59,579 refers to if you have to sub components 311 00:12:04,819 --> 00:12:02,819 of a system how knowing the state of one 312 00:12:06,829 --> 00:12:04,829 sis one sub component reduces the 313 00:12:08,600 --> 00:12:06,839 uncertainty of knowing the state of the 314 00:12:13,309 --> 00:12:08,610 other sub component if you have to 315 00:12:14,869 --> 00:12:13,319 protect it so that's basically how much 316 00:12:16,220 --> 00:12:14,879 are they sharing information on how much 317 00:12:17,989 --> 00:12:16,230 does information flowing between them 318 00:12:20,900 --> 00:12:17,999 active information is kind of same idea 319 00:12:22,850 --> 00:12:20,910 except it's Tim poorly it's essentially 320 00:12:25,400 --> 00:12:22,860 a fancy term for memory if you know the 321 00:12:26,600 --> 00:12:25,410 past state of a system how much does 322 00:12:27,889 --> 00:12:26,610 that reduce the uncertainty for being 323 00:12:30,609 --> 00:12:27,899 able predicts the future state or 324 00:12:33,410 --> 00:12:30,619 current state of that particular system 325 00:12:35,509 --> 00:12:33,420 another thing that another two hundred 326 00:12:37,900 --> 00:12:35,519 toolbox graph and network graph theory 327 00:12:40,009 --> 00:12:37,910 networks this was discussed earlier 328 00:12:41,569 --> 00:12:40,019 drafts when we talk about graphs we 329 00:12:43,639 --> 00:12:41,579 don't mean pie charts we mean these 330 00:12:45,169 --> 00:12:43,649 sorts of network designs where you have 331 00:12:47,299 --> 00:12:45,179 a node which is just any particular 332 00:12:49,429 --> 00:12:47,309 system component and edges which are 333 00:12:50,780 --> 00:12:49,439 connections between nodes and these are 334 00:12:53,030 --> 00:12:50,790 really cool for examining the 335 00:12:54,379 --> 00:12:53,040 interactions within a system and 336 00:12:56,059 --> 00:12:54,389 different networks have different 337 00:12:58,730 --> 00:12:56,069 structures motifs which I'll get to and 338 00:13:00,530 --> 00:12:58,740 they have different patterns of flow of 339 00:13:02,780 --> 00:13:00,540 information which and doing this allows 340 00:13:04,759 --> 00:13:02,790 you to track that and analyze it for 341 00:13:06,379 --> 00:13:04,769 example you have very centralized 342 00:13:08,449 --> 00:13:06,389 networks for everything's rating off a 343 00:13:11,660 --> 00:13:08,459 central spoke you have decentralized 344 00:13:13,129 --> 00:13:11,670 networks where there's a couple of very 345 00:13:16,369 --> 00:13:13,139 centralized spokes but they're all 346 00:13:18,470 --> 00:13:16,379 connected to each other on airports the 347 00:13:19,190 --> 00:13:18,480 wheel ins spoke model for airports for 348 00:13:20,540 --> 00:13:19,200 examples of class 349 00:13:22,160 --> 00:13:20,550 example of that where you have a couple 350 00:13:24,320 --> 00:13:22,170 hubs and then a whole bunch of outlying 351 00:13:26,360 --> 00:13:24,330 airports that are in smaller areas and 352 00:13:28,190 --> 00:13:26,370 then distributed where everything's kind 353 00:13:29,390 --> 00:13:28,200 of connected with everything else now 354 00:13:32,540 --> 00:13:29,400 you can do some really cool stuff with 355 00:13:33,980 --> 00:13:32,550 us for astrobiology you can analyze gene 356 00:13:37,630 --> 00:13:33,990 regulatory networks this way you can 357 00:13:41,510 --> 00:13:37,640 analyze social insects you can analyze 358 00:13:44,210 --> 00:13:41,520 metabolic interactions in microbial or 359 00:13:46,040 --> 00:13:44,220 just general biological communities and 360 00:13:47,840 --> 00:13:46,050 also the chemical reaction networks of 361 00:13:49,070 --> 00:13:47,850 planets to give you an idea this is sort 362 00:13:51,500 --> 00:13:49,080 of a plug for what I'm probably end up 363 00:13:52,940 --> 00:13:51,510 doing for my dissertation so you have 364 00:13:55,280 --> 00:13:52,950 these chemical reaction networks for an 365 00:13:56,870 --> 00:13:55,290 atmosphere you know where do you have 366 00:14:01,510 --> 00:13:56,880 all these reactions and then put into a 367 00:14:04,610 --> 00:14:01,520 sort of graph form so this is the graph 368 00:14:06,190 --> 00:14:04,620 for the atmosphere of Mars this is the 369 00:14:09,050 --> 00:14:06,200 graph for the atmosphere of Earth and 370 00:14:12,230 --> 00:14:09,060 all the other plants and sources look 371 00:14:13,430 --> 00:14:12,240 like this except for earth so something 372 00:14:14,420 --> 00:14:13,440 interesting is going on here we don't 373 00:14:16,490 --> 00:14:14,430 know what yet i'll probably be 374 00:14:17,810 --> 00:14:16,500 presenting on that next year but just 375 00:14:19,820 --> 00:14:17,820 give the idea of what this stuff is 376 00:14:21,170 --> 00:14:19,830 capable if it's pretty cool so any