Scientists frequently use concepts such as control, feedback, circuits, networks, error correction, robustness, and modularity to describe biological systems.
When are engineering concepts useful descriptions of biology, and when do they become arguments about biological origins?
Many concepts developed in mathematics, computer science, information theory, and engineering have proved useful for describing living systems.
These concepts can identify genuine structural and functional similarities. Feedback, signal processing, network topology, robustness, and error correction can often be analyzed quantitatively rather than merely used as metaphors.
The distinction between a useful engineering description and an inference to an engineer is essential to evaluating design arguments carefully.
Engineering and systems terminology is widely used in mainstream biological research because many of the corresponding mathematical and organizational concepts apply productively to living systems.
The evolutionary origin of such systems is investigated through genetics, comparative biology, experimental evolution, developmental biology, and theoretical models.
A functional analogy does not by itself establish a historical cause. Similar organizational principles can potentially arise through different processes.
Intelligent Design may legitimately examine engineering-like features of life, but an inference to design requires more than showing that engineers and organisms sometimes employ similar organizational principles.
Engineering concepts provide powerful tools for understanding biology. Whether they also provide evidence concerning biological origins must be evaluated separately.