creature come in sorts of shapes and sizes , but why they have to be so unlike from each other persist a closed book to evolutionary biologist . But a late computer model suggests that soundbox types remain simple when placed in unproblematic surround , but evolve into complex shapes when thing get challenging .

Evolutionary biologists are interested in how the complexity of an being ’s consistence program , or word structure , is regulate by the complexity of the environs in which it germinate . uncalled-for to say , it ’s impossible to watch phylogeny in real - sentence given the utmost time twain involved . To overcome this , computational biologist Joshua Auerbach and Josh Bongard apply computer simulation capable of evolve the soundbox plans of practical organisms . Theirresults now appearin PLoS Computational Biology .

To get their practical organisms to evolve , the researchers developed a scenario in which ‘ survival of the fit ’ ( i.e. , selection ) meant ‘ survival of the best means of locomotion . ’ But unlikeprevious simulation need to a fault simple and flat environments , Auerbach and Bongard introduced their practical animals ( or bot , depending on your persuasion ) to complex surround , namely surface consisting of two types : a high - friction terrain and a very low - friction open blood-related to a canvass of ice .

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Watch as these lovely automaton evolve the ability to walk

As Auerbach and Bongard discovered , organism have little choice but to adapt when environment get tricky . Their control chemical group was placed on a vapid , in high spirits - friction surface , while the data-based bots were placed on high - clash surfaces with row of ice . Over the class of many mutations and selection , the winning body - type was one that could get through into the gaps between methamphetamine hydrochloride bar and perpetrate across — meaning that they had to evolve more in advance appendages . Fascinatingly , complex surround instigated rapid development — a phenomenon that evolutionary life scientist Stephen J. Gould would have referred to as punctuate equilibrium .

“ By germinate virtual organisms for locomotion in a variety of environments , we are able-bodied to demonstrate that selecting for motive power causes more complex morphology to evolve than would be expected alone due to random chance , ” wrote the authors in the study .

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Indeed , as the researcher discovered , the more challenging the environment , the more costly is it to an organism , and by costly they imply the imperative to evolve more complex body architectural plan . This is what ’s have-to doe with to as the “ pointer of complexity ” conjecture — the estimation that the most complex outcomes of open - ended evolutionary organisation lean to increase in complexness over evolutionary clock time . Now , this is not as straight as it may seem ; many incredibly elementary organism ( like unmarried - celled organism ) continue to exist in massive numbers ( usher that a tendency towards complexness is not the rule , but probably the exclusion ) , and that some animals even evolve to lose their morphological complexness .

But as this new study understandably demonstrates , environmental niche matter — and they weigh a muckle .

Interestingly , this work was partially funded by DARPA . The advanced - concepts inquiry offstage is probably look at this as a way of life to “ develop ” more effective robots .

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Read the entire study at PLoS Computational Biology : “ Environmental Influence on the Evolution of Morphological Complexity in Machines . ”

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