Researchers Pair Robotics and Information Theory to Better Understand Predator and Prey Relationships

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.

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