Researchers Use Robotic Fish to Help Understand the Relationships Between Predators and Prey in the

With help from robotic fish, researchers at the New York University Tandon School of Engineering are demonstrating how information theory can offer insight into the cause-and-effect relationships between predator and prey in the animal kingdom.

With help from robotic fish, researchers at the New York University Tandon School of Engineering are demonstrating how information theory can offer insight into the cause-and-effect relationships between predator and prey in the animal kingdom.

In a paper published in the American Institute of Physics’ Chaos: An Interdisciplinary Journal of Nonlinear Science, the research team led by Maurizio Porfiri, a professor of mechanical and aerospace engineering at NYU Tandon, validated the use of information theory to study predator-prey interactions. Through the use of robotic fish, the research provides a foundation for controlled experiments of causation within such interactions.

“Within a context of two entities—the predator and prey—seeking entirely different outcomes, robotics provides us with a tool for validating the concept of transfer entropy to discover cause-and-effect relationships and to answer certain biological questions,” Porfiri said. “The question we want to ultimately understand is, if we put together a predator and its prey, how they are influencing each other?

Read Full Story: Phys.org/New York University

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Comments
No. 1-2
cmtamber
cmtamber

Fish World is awesome

janellnrose
janellnrose

Interesting ... would like to see how it works

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