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  • 00:00

    Making big decisions can be hard. Even after considering all options, doing research, and

  • 00:07

    selecting the best solution, there’s always a fear that you chose wrong.

  • 00:13

    To lessen that fear, a lot of us seek out advice from friends or even strangers on the

  • 00:17

    internet in the belief that two - or better yet, many - minds are better than just one.

  • 00:23

    This way of decision-making is like having a “hive mind,” where a large number of

  • 00:28

    individuals share their knowledge with each other which produces a collective intelligence.

  • 00:33

    This often leads to smarter decision-making among groups that is better than what one

  • 00:38

    individual could accomplish alone.

  • 00:41

    While often used in science fiction stories, hive minds actually do exist in real life.

  • 00:47

    There are lots of great examples of this in nature, but one stands out. And it comes from

  • 00:52

    the animal that inspired the phrase “hive mind” in the first place: bees.

  • 00:58

    These insects use nest-based communication to give their fellow bees important information,

  • 01:04

    and collectively make robust decisions. But their methods of communication aren’t what

  • 01:09

    you may expect.

  • 01:10

    Communication, or the passing of information from one individual to another, can take many

  • 01:11

    forms. Many animals, such as primates, whales, birds, and wolves, use sound to talk to one

  • 01:12

    another. Others, like many insects and even plants, use pheromones or chemicals to send

  • 01:13

    messages. But bees have developed a communication method that’s a little more peculiar.

  • 01:14

    They communicate via dance. And their dances can communicate to their peers the direction,

  • 01:17

    distance, and quality of food sources, the location of possible new hive sites, and sources

  • 01:23

    of nearby danger. And most surprisingly, they can even use their language to hold democratic

  • 01:29

    debates. This type of collective behavior is so powerful,

  • 01:33

    and the connection between the bees is so profound, that scientists are beginning to

  • 01:38

    understand that a bee colony acts a lot like a single organism - in fact, a lot like a

  • 01:44

    human brain.

  • 01:46

    And studying how these remarkable creatures interact could reveal answers about how our

  • 01:51

    own minds make decisions.

  • 01:57

    Although only about 10% of bee species are social, honeybees are very social indeed.

  • 02:03

    Apis mellifera, or the Western honey bee, is the most common of the 12 or so honey bee

  • 02:08

    species. They create large colonies with a single fertile queen, many non-reproductive

  • 02:14

    female workers, and a small number of fertile males. Individual colonies can house tens

  • 02:20

    of thousands of bees. And all of the activity carried out by these bees is organized by

  • 02:25

    complex communication between individuals.

  • 02:29

    In the early 1900s, scientists believed that bees might communicate the presence of nearby

  • 02:35

    food sources through scent - the fragrance of the flower adhering to the bees bodies

  • 02:40

    and alerting its peers of its nearby presence.

  • 02:43

    By this theory, the other bees should simply search in ever-expanding circles until they

  • 02:48

    discover the flowers with the memorized fragrance.

  • 02:51

    But in 1944, Karl von Frisch, a professor at the University of Munich made a discovery

  • 02:57

    that turned this assumption on its head - a discovery that would eventually win him the

  • 03:02

    Nobel Prize.

  • 03:04

    von Frisch noticed that after observing the returning scout bee, the other worker bees

  • 03:09

    did not search for flowers with a matching scent everywhere around the hive, but only

  • 03:13

    in the precise vicinity of where the foraging bee had been, even if that bee had been very

  • 03:19

    far away. Somehow, the exact location of the food source was being communicated by the

  • 03:25

    bees.

  • 03:26

    When von Frisch observed his bees more closely, he discovered that bees are constantly waggling,

  • 03:32

    running, and turning in circles inside the hive. He then realized that this performance

  • 03:37

    is a miniature reenactment of the bees’ recent flight outside the hive, indicating

  • 03:42

    the location of the food source it just visited.

  • 03:46

    Von Frisch had just discovered communication via dance.

  • 03:50

    And with it, foragers can share information about the direction and distance to patches

  • 03:55

    of flowers full of nectar and pollen with other members of the colony.

  • 04:00

    Their dance is called the waggle dance, and its main feature is the “waggle run,”

  • 04:05

    where they waggle back and forth while running in a straight line. The duration of the run

  • 04:09

    tells the other bees how far the resource is, where 1 second is equal to about 1000

  • 04:15

    meters. And the angle of their run, relative to a straight vertical line, tells the other

  • 04:20

    bees the angle of outward journey in relation to the sun. For example, if the dancing bee

  • 04:26

    walks 45 degrees to the right of the vertical line, the food source is 45 degrees to the

  • 04:31

    right of the position of the sun.

  • 04:34

    In addition to dancing, the bee also gives out some of the flower’s nectar to its audience

  • 04:39

    which, combined with the smell of the flower still lingering on the dancing bee help the

  • 04:44

    recruits locate the food source.

  • 04:46

    They communicate other things through dance as well. For instance, a “tremble dance,”

  • 04:51

    where they rock forward and backward and side to side, tells others that foragers have brought

  • 04:57

    so much nectar back to the hive that more bees are needed to process it into honey.

  • 05:01

    But not every bee conversation is about food sources, and not every piece of communication

  • 05:06

    is a one-way street, one bee communicating something to the rest. Bees can use these

  • 05:12

    same communication methods to discuss options about the future of the hive, and then make

  • 05:17

    decisions democratically - a type of collective behavior very rarely seen in the animal kingdom.

  • 05:28

    In late spring and early summer, honeybee colonies become overcrowded in their nesting

  • 05:34

    cavities. When this happens, it’s time for them to find a new home. One third of the

  • 05:39

    worker bees stay put and rear a new queen. And two thirds of the workers along with the

  • 05:44

    original queen begin the search for a new nest-site.

  • 05:48

    The quest starts with the swarm congregating on a temporary site - a branch, or a bush

  • 05:53

    outside the old hive. From here, scouts will go out and look for suitable nest sites - a

  • 05:59

    hollowed out tree, or an abandoned chimney or birdhouse. The bees are looking for a place

  • 06:04

    that will be protected from weather, predators, and is big enough for the new hive. Size is

  • 06:10

    perhaps the most important, since any colony occupying a hollow 10 liters or smaller can’t

  • 06:16

    store enough honey to make it through the winter.

  • 06:18

    Once a bee finds a location that it likes, it comes back to the group and does the waggle

  • 06:23

    dance, telling the others where the potential nest site is. Other bees then go check it

  • 06:28

    out for themselves. If these recruits like it, they’ll come back and do the same dance,

  • 06:33

    in the same direction. But it’s not always so clear which potential nest-site is the

  • 06:38

    best choice. And this is where a vigorous debate begins.

  • 06:41

    Here’s an example of how these debates typically go down, taken from one of the first studies

  • 06:47

    about bee debates in 1951.

  • 06:50

    On the first day, 2 nest-scout bees were identified and labeled. One bee reported a nest-site

  • 06:56

    candidate 1,500 meters to the north, while the other bee reported another site 300 meters

  • 07:01

    to the southeast. The next day, 11 new dancers were identified. 3 danced in support of the

  • 07:07

    site 1,500 meters to the north, 2 danced supporting the site 300 meters to the southeast, and

  • 07:13

    6 others danced about new sites all together. The next day, it rained, and only 2 new dancers

  • 07:19

    were recorded, one supporting the site to the north, and the other reported a new site,

  • 07:23

    400 meters to the southwest. The next day, many new sites were reported, but interestingly,

  • 07:29

    the site to the north was no longer being supported, perhaps because the rain leaked

  • 07:33

    into the site showing it was not such a good candidate after all. Over the next few days,

  • 07:38

    many sites were investigated and reported, but interest in most of them eventually faded.

  • 07:44

    Only one site, the one located 300 meters to the southeast, held the bees interest the

  • 07:49

    entire time. By the afternoon of the 4th day the bees dancing in support of the southeast

  • 07:54

    site completely dominated, with 61 bees dancing for it, and only 2 bees still holding out

  • 08:00

    for other sites. The next morning the decision was unanimous. The swarm then launched into

  • 08:06

    flight, flew 300 meters to the southeast, and took up residence in the wall of an abandoned

  • 08:11

    building.

  • 08:12

    By analyzing bee debates like this, the key features of the bee’s decision making process

  • 08:17

    becomes clear. The debate first starts with an information gathering phase, where many

  • 08:22

    alternatives are put on the table for discussion. The debate then progresses with all or almost

  • 08:27

    all the bees advocating for just one since, indicating that a consensus has been reached.

  • 08:33

    And during all of this, the process is highly distributed, involving dozens or even hundreds

  • 08:38

    of individuals - all the hallmarks of a democratic process.

  • 08:42

    The dances they perform are complex and indicate a lot of cognitive ability. The bees have

  • 08:47

    to remember the location of the resource or the nest-site, as well as the location of

  • 08:52

    the sun, and translate that information into the characteristics of the dance. The bees

  • 08:57

    in the audience then have to read this behavior and translate it into directions they will

  • 09:01

    then follow.

  • 09:02

    This, along with the coordinated decision to fly off in the same direction, at the same

  • 09:08

    time, supports the idea that a bee swarm acts as if it is one organism - a superorganism.

  • 09:14

    And recently, scientists have realized it’s even more profound than that. The way bees

  • 09:19

    work together is a lot like how the individual neurons in the human brain work together.

  • 09:25

    And studying their behavior may give insight into our own minds.

  • 09:35

    Psychophysical laws explain the relation between real world stimuli and the perception of those

  • 09:40

    stimuli. The brains of many organisms follow these laws, even quite simple ones.

  • 09:46

    Weber’s Law states that the change in a stimulus that will be just noticeable is a

  • 09:50

    constant ratio of the original stimulus.

  • 09:53

    For example, it might take 4 pounds before you notice your backpack getting heavier,

  • 09:58

    if your backpack was already loaded with heavy books.

  • 10:01

    Hick’s law says that the brain is slower to make decisions when the number of alternative

  • 10:06

    options increases.[9]

  • 10:08

    And Pieron's Law says that the brain is quicker to make decisions when the options to decide

  • 10:13

    from are of high quality.

  • 10:15

    These laws help relate the brain’s perception of reality to actual reality, and are important

  • 10:20

    when making decisions.. Many organisms adhere to these laws, even simple animals like fish

  • 10:26

    or insects. Fish, for example, can differentiate between a large school of fish and a small

  • 10:31

    one, opting to join the larger one, as long as the size difference was large enough for

  • 10:36

    them to be able to recognize it.

  • 10:38

    But do these laws only explain an individual’s brain and behavior? Could these laws also

  • 10:43

    apply to an entire colony of bees as one unit- the so-called ‘superorganism?’

  • 10:48

    In 2018, scientists started to get their answer. They analysed how quickly the colonies made

  • 10:53

    decisions between sites of varying qualities and compared the data with several psychophysics

  • 10:58

    laws to see how well the laws were adhered to.

  • 11:01

    And it turns out, the bee colony followed the laws closely. It followed Weber’s law,

  • 11:06

    in that the bees were able to choose the higher quality nest site, if and when the higher

  • 11:11

    quality, such as a larger size, exceeded the minimum noticeable difference.

  • 11:16

    They also found that the bee colony was slower to make decisions when the number of alternative

  • 11:21

    nest-sites increased, and that the colony was quicker to make a decision between two

  • 11:26

    high-quality nest-sites compared to two low-quality nest-sites.

  • 11:31

    Honeybee colonies adhere to the same laws as the brain when making collective decisions.

  • 11:36

    These finds give more support for the idea that bee colonies exist as superorganisms,

  • 11:42

    operating in the world much like a single, complete organism would.

  • 11:46

    And just as the bee colony is similar to a whole brain, the individual bee thus acts

  • 11:51

    like a single neuron. In the human brain, decisions are made when single nerves fire

  • 11:56

    waves of electrochemical signals. In bee colonies, decisions are made when individual bees communicate

  • 12:03

    their discoveries through a visual display to other bees.

  • 12:06

    And if bees follow the same laws as neurons, then observing them can lead to a better understanding

  • 12:12

    of our own minds - and more quickly too. Observing bee colonies is much easier than trying to

  • 12:18

    observe the neurons of a brain while a human makes a decision.

  • 12:22

    By understanding these parallels we can start to learn just how psychophysical laws work.

  • 12:27

    And with more data, bees could teach us how our entire psychology arises from a few chemical

  • 12:33

    actions from a few connected cells.

  • 12:36

    And outside understanding our own minds, computer scientists have created lots of different

  • 12:41

    algorithms based on bees decision-making methods.

  • 12:45

    One popular decision-making model is the Artificial Bee Colony (ABC) algorithm. It is used for

  • 12:52

    optimization problems, where users are looking for the best possible solution among many

  • 12:57

    different options.

  • 12:58

    In this model, each candidate solution is like a food source and the quality of that

  • 13:03

    solution is akin to the amount of nectar it holds. It begins with a number of employed

  • 13:08

    bees at each of the food sources. They then go out to neighboring food sources and compare

  • 13:14

    the amount of nectar to the previous source. They only remember the information of the

  • 13:19

    best food source they find.

  • 13:21

    After a certain number of steps, they share their information with onlooker bees who then

  • 13:26

    choose what they think is the best food source and sources that aren’t selected are abandoned.

  • 13:32

    This continues until the best food source, or solution, is identified.

  • 13:37

    This algorithm has been used to solve many real-world engineering problems across a variety

  • 13:42

    of fields. For instance, electrical engineers have used it to determine the optimal position

  • 13:48

    of solar panels for when they are in partial shade,[16] aerospace engineers have used it

  • 13:53

    to plan the re-entry trajectory of hypersonic vehicles, [17] and computer scientists have

  • 13:58

    used it to plan the path of robots, [18] proving the true power of the hive mind.

  • 14:04

    The intersection of biology and computer science is an exciting one, as the different ways

  • 14:09

    we can solve real world problems with solutions that nature has already made are basically

  • 14:15

    infinite. Algorithms are at the heart of this, and while they seem complicated, are easier

  • 14:20

    to wrap your head around than you might realize. If you’ve ever been put off by opaque coding

  • 14:25

    language, but really want to learn how algorithms work or even start making your own, you should

  • 14:30

    sign up for Brilliant.

  • 14:32

    Brilliant can help you learn how to program without having to dig through the weeds of

  • 14:36

    coding syntax through these fun, interactive challenges. You just shift around these blocks

  • 14:42

    of "pseudocode", and then you can get immediate feedback on your results. It's a good way

  • 14:47

    to understand how computer algorithms work, and then once you have that down, the coding

  • 14:52

    syntax becomes a lot less intimidating.

  • 14:54

    I don’t have a computer science background at all, but lately, it’s become more and

  • 14:59

    more important for me to understand it when making these videos, as it’s a topic that

  • 15:03

    keeps coming up. Brilliant’s Algorithm Fundamentals course has helped me learn that algorithms

  • 15:08

    really are just a set of instructions, and putting them together to get the computer

  • 15:13

    to do what you want is like a really fun puzzle. If you'd like to try out Brilliant for free

  • 15:18

    and get 20% off a year of STEM learning, click the link in the description down below or

  • 15:24

    visit Brilliant.org/RealScience.

  • 15:28

    As always thanks for watching, and if you are looking for something else to watch right

  • 15:31

    now, you can watch our previous video, the Insane Biology of Dragonflies, or Real Engineering’s

  • 15:38

    latest video that debunks a popular and mysterious image of airplanes that has been circulating

  • 15:43

    the internet for years.

All

The example sentences of WAGGLING in videos (1 in total of 1)

when wh-adverb von proper noun, singular frisch proper noun, singular observed verb, past participle his possessive pronoun bees noun, plural more adverb, comparative closely adverb , he personal pronoun discovered verb, past tense that preposition or subordinating conjunction bees noun, plural are verb, non-3rd person singular present constantly adverb waggling verb, gerund or present participle ,

Definition and meaning of WAGGLING

What does "waggling mean?"

/ˈwaɡəl/

verb
move or cause to move with short quick movements from side to side.

What are synonyms of "waggling"?
Some common synonyms of "waggling" are:
  • wag,
  • shake,
  • wiggle,
  • wobble,
  • wave,
  • quiver,
  • jerk,
  • twitch,
  • flutter,
  • jiggle,
  • joggle,
  • bobble,
  • brandish,
  • flourish,

You can find detailed definitions of them on this page.