Harvester ant colonies are able to decide how many forager they need to send out of the nest by using a communications protocol system that ’s spookily similar to the one IT professionals use to determine how much bandwidth is usable on the internet . This so - called “ anternet ” apparently proves that ant decision - qualification and behavior is regulated by a advanced set of algorithms that have evolved over the line of millions of years — algorithms that we ourselves have only lately describe .
Theresearchwas conducted by Stanford ant life scientist Deborah Gordon and electronic computer scientist Balaji Prabhakar , whose findings were recently published in PLOS . Prabhakar was brought on board to see if he could find any correlation coefficient between ant behavior and reckoner scientific discipline . After some preliminary observations he rapidly recognize that the emmet were fundamentally using the same algorithm that describes TCP , the Transmission Control Protocol . TCP is used to chance upon how much bandwidth is available for transferring a file . But instead of bandwidth , the ants are using their own interlingual rendition of TCP to determine how much food is available ground on the reports arrive back from foraging pismire .
TCP was an important discovery that allowed information engineer to take the internet from a few XII node to the billions currently in use today . It works by transfer a filing cabinet from a source to the finish in a series of parcel . The origin is continually inform by the destination as to when the packets have come . So , if it ’s lead too long , there must not be much bandwidth available , and the author will re - adjust by decreasing the pace of packet infection — what ’s referred to as strangling .

As it sprain out , the ants are doing just the same thing — but they ’re not looking to restrict information , they ’re look to control the loss of forager ants .
A forager harvester pismire will only return to the colony after it find some food for thought . Thus , if there ’s lots of food for thought in the immediate environment , the number of ants returning with positive food for thought messages will be high ; but if there ’s little to no food around , very few ants will be air their recognition messages back to the colony . So , with a returning ant frequence found , the settlement can align the forager gas consequently . When there ’s more food available , the hive mind liberate more ants given the confirmed presence of nutrient .
It ’s worth noting that reaper ants do not use pheromone trail , and that they channelize information to each other using their antennae .

In the study , the researchers did not specify why the emmet did not increase their forage activities in consideration of trace amounts of solid food . One potential account is that the colony trust the data coming back from the forager , and that sending more foragers would only be a waste product of meter and vim .
As for testing this hypothesis , Prabhaker save an algorithm to omen the forage behaviour of ants depending on the amount of food available . It turned out that his ant - algorithm was almost identical to TCP . Moreover , he distinguish that ants observe two other aspects of TCP , namely tiresome start phase ( where a informant sends out a enceinte wafture of packets at the beginning of a transmission to assess bandwidth ) , and a contagion time - out ( where the reference will stop sending out information packet boat ( or ants ) when a datum transfer is better or disrupted ) . In the latter casing , pismire will also stop sending out ants if , after 20 minute , no forager have returned to the nest .
Fascinatingly , the team speculates that , had IT developers discovered this ant algorithm during the seventies , they very well might have used it to develop TCP . Moreover , they consider the ants have more to offer , and powerfully suspect they could still teach us about the conception of web system . The researchers repugn that each ant may be very basic in terms of its capacity , but that the collective is capable of take form unbelievably complex and sophisticated tasks .

Theentire reportcan be take at PLOS .
simulacrum via Andrey Pavlov / Shutterstock.com . Inset imagevia .
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