I. Hello and Welcome to ID the Future. I'm Casey Luskin with Discovery Institute's Center for Science and Culture.

And we have on the show with us today a second podcast with Dr Brian Miller, who is research coordinator for the Center for Science and

and Culture at Discovery Institute. Dr Miller has a bachelor's degree in physics with a minor in

engineering from MIT and a PhD in physics from Duke University.

He has contributed to multiple books and journals

covering the debate over intelligent design,

and his most recent is a chapter in the book

titled Science and Faith in Dialogue published by the South African publisher

Aiosis. It is available open access online. We'll put a link to it in the podcast

description. And Dr Miller's chapter is titled Engineering Principles

Explained Biological Systems Better than Evolutionary Theory and he's come back on the show

with us today to continue discussing this chapter in this book. So Dr Miller

Thanks for coming back on the show.

It's a pleasure to be back. So in your book chapter you talk about some examples of

engineering or what you believe is engineering and biology, particularly the ability of organisms to track and respond to the environment.

So from an engineering standpoint, what is needed, theoretically speaking, for an organism to be able to track the environment and then I'd like to talk about some examples from biology where you see these theoretical predictions of your engineering paradigm existing.

Certainly and the whole idea of a tracking model is that when organisms adapt to the environment, it's not

entirely random mutations and natural selection and other evolutionary processes that are random and

undirected. But what you have is the organism has sensors. People often call that

receptors, but sensors is a better term, monitoring what's happening in the environment,

like the temperature, the pressure, the existence of predators.

Now what happens is there's logic-based analyzers.

...