Researchers apply biological and digital approaches to better understand underlying factors:
One
type of research done at BEACON includes the design of robots that
cooperate to achieve a common goal and get rewarded or punished based on
their interaction.
Credit: Philip McKinley, Michigan State University
Download the high-resolution JPEG version of the image. (165 KB)
Biologists
study mammalian behavior, including hyenas using computational theory.
One example is studying how cooperative behavior evolves among competing
predators. In this picture, hyenas and lion feed on carcass in Masai
Mara National Reserve, Kenya.
Credit: Laura Smale, Michigan State University
Download the high-resolution JPEG version of the image. (77 KB)
3D
image of intelligent vehicle systems experiments conducted in the
webots simulation environment. The scenario in particular shows two
simulated vehicle controllers capable of adaptive cruise control and
lane keeping. Evolutionary computation was used to introduce uncertainty
at the sensory level and thereby explore how controllers were affected.
Credit: Michigan State University
Download the high-resolution JPEG version of the image. (88 KB)
Evolution is not just something from the past. It also happens in
real time. Bacteria mutate and resist antibiotics. Viruses reinvent
themselves and elude new medications. Animals adapt their behavior in
response to a changing planet.
Traditionally, researchers have
studied evolution by looking back, often using fossils and other relics
to understand how organisms have changed over time in order to survive.
It is an established and valuable approach.
But it is not the
only one. Thanks to new sophisticated computational technology,
scientists now can combine field observations with digital evolution
systems, enabling them to answer important biological questions, as well
as solve non-biological problems using evolutionary methods.
"It's
not that what we're doing won't shed light on evolution over millions
of years, but we also are able to study things we can actually observe
with our eyes," says Erik Goodman, director of the BEACON Center for the
Study of Evolution in Action, which is conducting much of this work.
"We are looking at evolution in the real world."
Computer
software allows the researchers to create digital organisms, similar in
some ways to real bacteria and viruses, for example, that can copy
themselves, make mistakes and cause mutations, essentially behaving like
their real life counterparts. The difference, however, is that the
digital creatures can do it in a fraction of the time.
"For
example, if we find some phenomenon going on in the lab that we can't
explain, we can take it into the digital world and get an explanation of
how it might work," Goodman says. "Then we can take it back to the lab
to see if that explanation holds in the real world."
Engineers
also can use engineering simulation software to create an environment
where new product designs can "evolve." With each generation, the
computer makes random mutations in existing designs in order to produce
new ones; the simulation software then evaluates each new line and
allows the better ones to survive, much like evolution in nature.
Computers also can "evolve" new robot programs, making use of natural
selection and enabling the machines to respond to human or animal
interaction.
"How, for example, would you design robots that
could cooperate with each other to work together toward a unified goal,
to reward them when they cooperate and punish them when they cheat?"
says evolutionary biologist Richard Lenski, professor of microbiology
and molecular genetics at Michigan State. "Evolution solves some of
these difficult problems, and this is a way of allowing computer
programs themselves to engage in their own form of evolution and natural
selection."
Evolution is not just something from the past. It also happens in
real time. Bacteria mutate and resist antibiotics. Viruses reinvent
themselves and elude new medications. Animals adapt their behavior in
response to a changing planet.
Traditionally, researchers have
studied evolution by looking back, often using fossils and other relics
to understand how organisms have changed over time in order to survive.
It is an established and valuable approach.
But it is not the
only one. Thanks to new sophisticated computational technology,
scientists now can combine field observations with digital evolution
systems, enabling them to answer important biological questions, as well
as solve non-biological problems using evolutionary methods.
"It's
not that what we're doing won't shed light on evolution over millions
of years, but we also are able to study things we can actually observe
with our eyes," says Erik Goodman, director of the BEACON Center for the
Study of Evolution in Action, which is conducting much of this work.
"We are looking at evolution in the real world."
Computer
software allows the researchers to create digital organisms, similar in
some ways to real bacteria and viruses, for example, that can copy
themselves, make mistakes and cause mutations, essentially behaving like
their real life counterparts. The difference, however, is that the
digital creatures can do it in a fraction of the time.
"For
example, if we find some phenomenon going on in the lab that we can't
explain, we can take it into the digital world and get an explanation of
how it might work," Goodman says. "Then we can take it back to the lab
to see if that explanation holds in the real world."
Engineers
also can use engineering simulation software to create an environment
where new product designs can "evolve." With each generation, the
computer makes random mutations in existing designs in order to produce
new ones; the simulation software then evaluates each new line and
allows the better ones to survive, much like evolution in nature.
Computers also can "evolve" new robot programs, making use of natural
selection and enabling the machines to respond to human or animal
interaction.
"How, for example, would you design robots that
could cooperate with each other to work together toward a unified goal,
to reward them when they cooperate and punish them when they cheat?"
says evolutionary biologist Richard Lenski, professor of microbiology
and molecular genetics at Michigan State. "Evolution solves some of
these difficult problems, and this is a way of allowing computer
programs themselves to engage in their own form of evolution and natural
selection."
The National Science Foundation is supporting the
center with $25 million over five years, with the potential for a
one-time renewal after the first cycle. The center, launched last year,
is located at Michigan State University with partners at North Carolina
A&T State University, the University of Idaho, the University of
Texas at Austin and the University of Washington.
BEACON
researchers include biologists, engineers, and computer scientists who
collaborate on biological and digital evolution, and evolutionary
approaches to engineering. The center also has an artist-in-residence
who examines evolution through an artistic lens.
Ultimately,
their work not only will provide a better understanding of evolution,
but also potentially could prompt medical innovations, such as new
vaccines to target elusive viruses, and improved product designs.
"We
aren't doing medical research, but trying to understand underlying
mechanisms," Goodman says. "If we knew more about how certain viruses
evolve, for example, we could target the weak points to develop better
vaccines. In the area of product design, for example, we have designed
new parts for automobiles using computer programs based on evolution.
The computer programs can generate a bunch of designs at random, and the
better ones become the 'parents' of the next generation. It works like
natural selection, it mimics the evolutionary process."
Kay E.
Holekamp, professor of zoology at Michigan State, studies mammalian
behavior, focusing on hyenas, and is collaborating with BEACON engineers
to develop robotic hyenas that someday will interact with real ones.
The goal is to help answer long-standing questions about how the animals
communicate with one another. The scientists still are in the planning
stages, but Holekamp hopes to be using these robots in her research
within several years.
"Hyenas ‘talk' to each other using
different modalities," she says. "They engage in posturing, they
position their tails and their ears in a certain way. They vocalize.
They emit multiple signals. I can't ask the hyenas to stop, while I
work with one of them, but I could program the robots. If I can
manipulate the robots from my car, and monitor the hyenas' responses, I
can understand what they are communicating. I couldn't possibly do that
in the real environment."
Together with her BEACON collaborators,
she also is developing a computational theory of how cooperative
behavior evolves among competing predators, again, focusing on hyenas.
She plans to simulate cooperative hyena behavior, specifically how they
collaborate to steal food from lions, and how they compete among
themselves for the food when they get it.
"Our research team will
first videotape the events in nature, and then model them with
computational simulations in order to study their evolutionary origins,
including the conditions under which each behavior is effective," she
says. "The result will be a computational theory of how and why
competing predators cooperate, as well as computational methods for
evolving complex cooperation among intelligent agents in virtual
environments."
She adds: "Hyenas are disastrously difficult to
study in terms of evolution because they reproduce so slowly. They also
appear to violate a lot of the rules of mammalian biology. For example,
the roles of male and females are completely reversed. In most mammals,
the males are bigger and stronger and more aggressive. In hyenas, it's
the females.
"Also, these animals live at the top of the food
chain, but their societies are nothing like those of other carnivores,"
she continues. "They violate the rules of density. Most The National Science Foundationat the
top are relatively rare, but hyenas are plentiful, living in big groups
that can contain as many as 90 individuals. I think these particular
animals are among the most interesting on Earth."
In another way
of looking at evolution, BEACON artist-in-residence Adam Brown is
creating a robotic art project made up of about 150 three-dimensional
sculptural robots mounted on walls and capable of communicating with
each other, and will use computational evolution programs to discover
the kinds of behaviors that will inspire interaction with humans.
Brown
explains: "Let's say you want to evolve robots who want to be touched
by humans--what kinds of behaviors must the robots engage in to
encourage this? Flashing lights? Sounds? We use the tools of
evolution--evolutionary algorithms--to solve the problem. Over a
five-minute span you can have more than 10,000 generations for a
specific task, something you can do with computational technology that
you can't do in the real world."
In another piece connecting
evolution to art, Brown and Robert Root-Bernstein, professor of
physiology at Michigan State, built an art installation recreating the
classic 1952 Miller-Urey experiment on the origins of life, simulating
what is thought to be Earth's original atmosphere by combining hydrogen,
ammonia and methane in a glass chamber, with zapping electricity as
"lightning" to form amino acids, which are critical to life.
The
piece, called "Origins of Life Experiment #1.2," reinterprets the work
of physicist Harold Urey, who proposed that it might be possible to
recreate the atmosphere of the primordial Earth in a closed container
and synthesize organic molecules by adding an energy source such as
lightning to the mix. Stanley Miller, a graduate student, conducted the
experiment producing, within days, several amino acids. The Miller-Urey
experiment quickly became a scientific and public icon of origins of
life experimentation.
"This experiment was inspirational to me,"
says Brown, associate professor of electronic art and intermedia in
Michigan State's department of art and art history. "I wanted to take
this science experiment and put it into the context of art."
In
addition to the research and art, BEACON center scientists have
established summer programs for high school students and undergraduates,
and are working with graduate students to expose them to new
cross-disciplinary concepts of evolutionary and computational biology.
"By
having both of these systems available, the students learn a different
way of formulating their hypotheses, and asking their questions,"
Goodman says. "Then, when they start working with digital organisms,
they also can get results the next day and the next week - rather than
having to work for years in the lab."
| -- |
Marlene
Cimons, National Science Foundation
|
Investigators
Xiaobo Tan
Erik Goodman
Kay Holekamp
Kim Scribner
Charles Ofria
Jeffrey French
Richard Lenski
Robert Pennock
Philip McKinley
Janette Boughman
Stephen Glickman
Related Institutions/Organizations
Michigan State University
is supporting the
center with $25 million over five years, with the potential for a
one-time renewal after the first cycle. The center, launched last year,
is located at Michigan State University with partners at North Carolina
A&T State University, the University of Idaho, the University of
Texas at Austin and the University of Washington.
BEACON
researchers include biologists, engineers, and computer scientists who
collaborate on biological and digital evolution, and evolutionary
approaches to engineering. The center also has an artist-in-residence
who examines evolution through an artistic lens.
Ultimately,
their work not only will provide a better understanding of evolution,
but also potentially could prompt medical innovations, such as new
vaccines to target elusive viruses, and improved product designs.
"We
aren't doing medical research, but trying to understand underlying
mechanisms," Goodman says. "If we knew more about how certain viruses
evolve, for example, we could target the weak points to develop better
vaccines. In the area of product design, for example, we have designed
new parts for automobiles using computer programs based on evolution.
The computer programs can generate a bunch of designs at random, and the
better ones become the 'parents' of the next generation. It works like
natural selection, it mimics the evolutionary process."
Kay E.
Holekamp, professor of zoology at Michigan State, studies mammalian
behavior, focusing on hyenas, and is collaborating with BEACON engineers
to develop robotic hyenas that someday will interact with real ones.
The goal is to help answer long-standing questions about how the animals
communicate with one another. The scientists still are in the planning
stages, but Holekamp hopes to be using these robots in her research
within several years.
"Hyenas ‘talk' to each other using
different modalities," she says. "They engage in posturing, they
position their tails and their ears in a certain way. They vocalize.
They emit multiple signals. I can't ask the hyenas to stop, while I
work with one of them, but I could program the robots. If I can
manipulate the robots from my car, and monitor the hyenas' responses, I
can understand what they are communicating. I couldn't possibly do that
in the real environment."
Together with her BEACON collaborators,
she also is developing a computational theory of how cooperative
behavior evolves among competing predators, again, focusing on hyenas.
She plans to simulate cooperative hyena behavior, specifically how they
collaborate to steal food from lions, and how they compete among
themselves for the food when they get it.
"Our research team will
first videotape the events in nature, and then model them with
computational simulations in order to study their evolutionary origins,
including the conditions under which each behavior is effective," she
says. "The result will be a computational theory of how and why
competing predators cooperate, as well as computational methods for
evolving complex cooperation among intelligent agents in virtual
environments."
She adds: "Hyenas are disastrously difficult to
study in terms of evolution because they reproduce so slowly. They also
appear to violate a lot of the rules of mammalian biology. For example,
the roles of male and females are completely reversed. In most mammals,
the males are bigger and stronger and more aggressive. In hyenas, it's
the females.
"Also, these animals live at the top of the food
chain, but their societies are nothing like those of other carnivores,"
she continues. "They violate the rules of density. Most mammals at the
top are relatively rare, but hyenas are plentiful, living in big groups
that can contain as many as 90 individuals. I think these particular
animals are among the most interesting on Earth."
In another way
of looking at evolution, BEACON artist-in-residence Adam Brown is
creating a robotic art project made up of about 150 three-dimensional
sculptural robots mounted on walls and capable of communicating with
each other, and will use computational evolution programs to discover
the kinds of behaviors that will inspire interaction with humans.
Brown
explains: "Let's say you want to evolve robots who want to be touched
by humans--what kinds of behaviors must the robots engage in to
encourage this? Flashing lights? Sounds? We use the tools of
evolution--evolutionary algorithms--to solve the problem. Over a
five-minute span you can have more than 10,000 generations for a
specific task, something you can do with computational technology that
you can't do in the real world."
In another piece connecting
evolution to art, Brown and Robert Root-Bernstein, professor of
physiology at Michigan State, built an art installation recreating the
classic 1952 Miller-Urey experiment on the origins of life, simulating
what is thought to be Earth's original atmosphere by combining hydrogen,
ammonia and methane in a glass chamber, with zapping electricity as
"lightning" to form amino acids, which are critical to life.
The
piece, called "Origins of Life Experiment #1.2," reinterprets the work
of physicist Harold Urey, who proposed that it might be possible to
recreate the atmosphere of the primordial Earth in a closed container
and synthesize organic molecules by adding an energy source such as
lightning to the mix. Stanley Miller, a graduate student, conducted the
experiment producing, within days, several amino acids. The Miller-Urey
experiment quickly became a scientific and public icon of origins of
life experimentation.
"This experiment was inspirational to me,"
says Brown, associate professor of electronic art and intermedia in
Michigan State's department of art and art history. "I wanted to take
this science experiment and put it into the context of art."
In
addition to the research and art, BEACON center scientists have
established summer programs for high school students and undergraduates,
and are working with graduate students to expose them to new
cross-disciplinary concepts of evolutionary and computational biology.
"By
having both of these systems available, the students learn a different
way of formulating their hypotheses, and asking their questions,"
Goodman says. "Then, when they start working with digital organisms,
they also can get results the next day and the next week - rather than
having to work for years in the lab."
| -- |
Marlene
Cimons, National Science Foundation
|
Investigators
Xiaobo Tan
Erik Goodman
Kay Holekamp
Kim Scribner
Charles Ofria
Jeffrey French
Richard Lenski
Robert Pennock
Philip McKinley
Janette Boughman
Stephen Glickman
Related Institutions/Organizations
Michigan State University
Evolution is not just something from the past. It also happens in
real time. Bacteria mutate and resist antibiotics. Viruses reinvent
themselves and elude new medications. Animals adapt their behavior in
response to a changing planet.
Traditionally, researchers have
studied evolution by looking back, often using fossils and other relics
to understand how organisms have changed over time in order to survive.
It is an established and valuable approach.
But it is not the
only one. Thanks to new sophisticated computational technology,
scientists now can combine field observations with digital evolution
systems, enabling them to answer important biological questions, as well
as solve non-biological problems using evolutionary methods.
"It's
not that what we're doing won't shed light on evolution over millions
of years, but we also are able to study things we can actually observe
with our eyes," says Erik Goodman, director of the BEACON Center for the
Study of Evolution in Action, which is conducting much of this work.
"We are looking at evolution in the real world."
Computer
software allows the researchers to create digital organisms, similar in
some ways to real bacteria and viruses, for example, that can copy
themselves, make mistakes and cause mutations, essentially behaving like
their real life counterparts. The difference, however, is that the
digital creatures can do it in a fraction of the time.
"For
example, if we find some phenomenon going on in the lab that we can't
explain, we can take it into the digital world and get an explanation of
how it might work," Goodman says. "Then we can take it back to the lab
to see if that explanation holds in the real world."
Engineers
also can use engineering simulation software to create an environment
where new product designs can "evolve." With each generation, the
computer makes random mutations in existing designs in order to produce
new ones; the simulation software then evaluates each new line and
allows the better ones to survive, much like evolution in nature.
Computers also can "evolve" new robot programs, making use of natural
selection and enabling the machines to respond to human or animal
interaction.
"How, for example, would you design robots that
could cooperate with each other to work together toward a unified goal,
to reward them when they cooperate and punish them when they cheat?"
says evolutionary biologist Richard Lenski, professor of microbiology
and molecular genetics at Michigan State. "Evolution solves some of
these difficult problems, and this is a way of allowing computer
programs themselves to engage in their own form of evolution and natural
selection."
The National Science Foundation is supporting the
center with $25 million over five years, with the potential for a
one-time renewal after the first cycle. The center, launched last year,
is located at Michigan State University with partners at North Carolina
A&T State University, the University of Idaho, the University of
Texas at Austin and the University of Washington.
BEACON
researchers include biologists, engineers, and computer scientists who
collaborate on biological and digital evolution, and evolutionary
approaches to engineering. The center also has an artist-in-residence
who examines evolution through an artistic lens.
Ultimately,
their work not only will provide a better understanding of evolution,
but also potentially could prompt medical innovations, such as new
vaccines to target elusive viruses, and improved product designs.
"We
aren't doing medical research, but trying to understand underlying
mechanisms," Goodman says. "If we knew more about how certain viruses
evolve, for example, we could target the weak points to develop better
vaccines. In the area of product design, for example, we have designed
new parts for automobiles using computer programs based on evolution.
The computer programs can generate a bunch of designs at random, and the
better ones become the 'parents' of the next generation. It works like
natural selection, it mimics the evolutionary process."
Kay E.
Holekamp, professor of zoology at Michigan State, studies mammalian
behavior, focusing on hyenas, and is collaborating with BEACON engineers
to develop robotic hyenas that someday will interact with real ones.
The goal is to help answer long-standing questions about how the animals
communicate with one another. The scientists still are in the planning
stages, but Holekamp hopes to be using these robots in her research
within several years.
"Hyenas ‘talk' to each other using
different modalities," she says. "They engage in posturing, they
position their tails and their ears in a certain way. They vocalize.
They emit multiple signals. I can't ask the hyenas to stop, while I
work with one of them, but I could program the robots. If I can
manipulate the robots from my car, and monitor the hyenas' responses, I
can understand what they are communicating. I couldn't possibly do that
in the real environment."
Together with her BEACON collaborators,
she also is developing a computational theory of how cooperative
behavior evolves among competing predators, again, focusing on hyenas.
She plans to simulate cooperative hyena behavior, specifically how they
collaborate to steal food from lions, and how they compete among
themselves for the food when they get it.
"Our research team will
first videotape the events in nature, and then model them with
computational simulations in order to study their evolutionary origins,
including the conditions under which each behavior is effective," she
says. "The result will be a computational theory of how and why
competing predators cooperate, as well as computational methods for
evolving complex cooperation among intelligent agents in virtual
environments."
She adds: "Hyenas are disastrously difficult to
study in terms of evolution because they reproduce so slowly. They also
appear to violate a lot of the rules of mammalian biology. For example,
the roles of male and females are completely reversed. In most mammals,
the males are bigger and stronger and more aggressive. In hyenas, it's
the females.
"Also, these animals live at the top of the food
chain, but their societies are nothing like those of other carnivores,"
she continues. "They violate the rules of density. Most mammals at the
top are relatively rare, but hyenas are plentiful, living in big groups
that can contain as many as 90 individuals. I think these particular
animals are among the most interesting on Earth."
In another way
of looking at evolution, BEACON artist-in-residence Adam Brown is
creating a robotic art project made up of about 150 three-dimensional
sculptural robots mounted on walls and capable of communicating with
each other, and will use computational evolution programs to discover
the kinds of behaviors that will inspire interaction with humans.
Brown
explains: "Let's say you want to evolve robots who want to be touched
by humans--what kinds of behaviors must the robots engage in to
encourage this? Flashing lights? Sounds? We use the tools of
evolution--evolutionary algorithms--to solve the problem. Over a
five-minute span you can have more than 10,000 generations for a
specific task, something you can do with computational technology that
you can't do in the real world."
In another piece connecting
evolution to art, Brown and Robert Root-Bernstein, professor of
physiology at Michigan State, built an art installation recreating the
classic 1952 Miller-Urey experiment on the origins of life, simulating
what is thought to be Earth's original atmosphere by combining hydrogen,
ammonia and methane in a glass chamber, with zapping electricity as
"lightning" to form amino acids, which are critical to life.
The
piece, called "Origins of Life Experiment #1.2," reinterprets the work
of physicist Harold Urey, who proposed that it might be possible to
recreate the atmosphere of the primordial Earth in a closed container
and synthesize organic molecules by adding an energy source such as
lightning to the mix. Stanley Miller, a graduate student, conducted the
experiment producing, within days, several amino acids. The Miller-Urey
experiment quickly became a scientific and public icon of origins of
life experimentation.
"This experiment was inspirational to me,"
says Brown, associate professor of electronic art and intermedia in
Michigan State's department of art and art history. "I wanted to take
this science experiment and put it into the context of art."
In
addition to the research and art, BEACON center scientists have
established summer programs for high school students and undergraduates,
and are working with graduate students to expose them to new
cross-disciplinary concepts of evolutionary and computational biology.
"By
having both of these systems available, the students learn a different
way of formulating their hypotheses, and asking their questions,"
Goodman says. "Then, when they start working with digital organisms,
they also can get results the next day and the next week - rather than
having to work for years in the lab."
| -- |
Marlene
Cimons, National Science Foundation
|
Investigators
Xiaobo Tan
Erik Goodman
Kay Holekamp
Kim Scribner
Charles Ofria
Jeffrey French
Richard Lenski
Robert Pennock
Philip McKinley
Janette Boughman
Stephen Glickman
Related Institutions/Organizations
Michigan State University
Related Awards
#0939454 BEACON: An NSF Center for the Study of Evolution in Action
#0819437 LTREB: Fitness Consequences of Pleiotropic Androgen Effects in Free-Living Mammals
#1059373 II-EN: Evolution Park - An Evolutionary Robotics Habitat for the Study of Crawling, Swimming and Flying Creatures
The National Science Foundation
Guillermo Gonzalo Sánchez Achutegui
ayabaca@gmail.com
ayabaca@hotmail.com
ayabaca@yahoo.com
