Mexican jumping beans use random walk strategy to find shade: study
arstechnica.com
arstechnica.com
am wondering it this is an example of a teleological thinking?
it seems like the bugs have only one motor function - move in a random direction - and only one input sensor - temperature. What other strategies are available to them than random walk with a probability of movement based on a function of temperature and time?
If the bugs had the functions 1) move in one direction and 2) turn, then they might have observed a circular or spiral path.
First, they have no evidence that evolution could create a jumping bean that jumps in a straight line. It seems that the direction the bean moves is a function of the uncurling larvae but also the shape of the bean. Possibly such a movement could have evolved, but the authors are presenting this like the random walk improved the larvae's fitness function.
Second, the conclusion that a straight line would find shade quickest, but only for a small percentage of larvae, is obvious and doesn't result in anything scientifically new. Of course if you draw straight lines from any point in all direction, the straight lines that happened to intersect with the shade will be the fastest path to the shade. But just as obviously, heading in a straight line in a random direction is not the most efficient way to find shade.
If they had the freedom to evolve any search strategy possible, there are plenty of search strategies that will uncover shade faster than a random walk. But the larva don't have the ability to select any search strategy they want, they're blind and have no senses besides their current temperature. They have no way of knowing which direction they're facing. Therefore a random walk is simply all that is available to them, it's not a strategy.
Maybe the name of the strategy should be "directed random walk".
I.e., it's a strategy at the species scale, but not the individual scale.
But, maybe that's my mistake of not knowing how these words are used in biology.
Point being, I wouldn't worry too much about "having a strategy" vs. "natural selection selecting for". It's only ever the latter - perhaps with exception of humans, but that's up to philosophers to figure out.
I think it's mainly the ability to start or stop jumping according to temperature. Jumping in a random direction, only when you're too hot, is a strategy for finding shade. Given a pattern of light and shade, that strategy is provably better than never jumping at all, or jumping regardless of temperature. (I haven't proved it, but I think I could.)
I think they're saying a jumping bean "has a strategy" in the same sense that a Roomba "has a strategy." The Roomba has an edge over a traditional vacuum cleaner. But if it's you against the Roomba, you're normally going to win.
Given zero information about your surroundings other then the fact of whether you are currently in a shade or currently not in a shade traveling in a straight line is a mathematically better strategy.
Why? Because random walk includes the possibility of going back to the same place of where there is no shade while traveling in a straight line guarantees every move is a new location.
Not quite, but the location of the grasshoppers hearing organ is actually quite close to the legs!
If I recall correctly Ben's side hustle before YouTube was making non-ferrous computer peripherals for MRI machines, and his portfolio on YouTube is incredibly extensive including this one from 10 years ago where he made a CT scanner from scratch!
Even after examining that chart every few years, my intuition still isn't tuned to reality.
"Because the outcome of each coin flip is independent of all the others, there is always an equal chance that it will land on heads or tails with each toss. That means that your future final position is independent of your original starting position"
Assuming a fair coin, you will most likely end up approximately at where you started, with a Gaussian distribution. And your final position is extremely correlated with where you started.
“I first came up with a prototypical free energy principle when I was eight years old, in what I have previously called a “Gerald Durrell” moment (Friston, 2012). I was in the garden, during a gloriously hot 1960s British summer, preoccupied with the antics of some woodlice (small armadillo like bugs—see Figure 1) who were frantically scurrying around trying to find some shade. After half an hour of observation and innocent (childlike) contemplation, I realized their “scurrying” had no purpose or intent: they were simply moving faster in the sun—and slower in the shade. The simplicity of this explanation—for what one could artfully call biotic self-organization—appealed to me then and appeals to me now. It is exactly the same principle that underwrites the ensemble density dynamics of the free energy principle—and all its corollaries.”
I wonder if the simplicity of his proposed wood lice model applies to the jumping bean larvae as well?
Maximizing the chance of hitting an arbitrary spot is.
Another problem is that the bean probably can't keep a direction even if it "wanted". It uses random walk, quite possibly because it's the simplest to achieve acceptable results.
Ultimately, it may turn out that natural selection will remove your "upgrades" simply because metabolic load makes the organism statistically less likely to survive long enough to procreate. Turns out - it's something I hear is particularly apparent in bacteria and viruses - natural selection likes simplicity too :).
Takeaway being, it's easy to splice in arbitrary genes these days - but it's hard to make it an actual improvement.