Navigation expert Eric Cassell points out that algorithms have made the ant one of the most successful insects ever, both in numbers and complexity. Computer programmers use some of the same basic structures.
Eric Cassell: I think it’s such a daunting task to try to explain how something is sophisticated as an algorithm, particularly a mathematical type of algorithm, could have evolved in the first place. It has to be in the genome somehow. And then that information that’s in the genome has to be encoded in a neural network when the brain develops, and then it all has to be run, as the animal is performing the behavior.
Eric Cassell: Scientists typically specialize, and a biologist who does this may see problems for evolutionary theory in his or her own subdiscipline but then figure those problems are the exception and that evolutionary theory has things well in hand elsewhere in the life sciences.
There exists no evolutionary model that satisfactorily explains its origin. That by itself does not prove that gradual evolution didn’t produce such programming, but the lack of such a model should at least give the open-minded pause for reflection.
Eric Cassell: The Goulds call this curious dance “the second most information-rich exchange in the animal world,”5 second only to human language. That is quite a statement considering the communication is by insects with only 950,000 neurons, compared to humans with about eighty-five billion.
Richard W. Stevens: You’re aiming to find your childhood friend’s home in a new city. A map helps; GPS is better. Accessing all that previously-acquired mapmakers’ knowledge, employing all of that satellite, radio and computing technology, you’ll probably (although not certainly) reach your goal. Could some “dumb bird” do any better? Way better, actually.
“[H]ow did these embedded programs arise in the history of life? There’s the problem for evolutionists. “Specified complexity, irreducible complexity, and the Cambrian explosion are inexplicable from a Darwinian viewpoint,” comments Baylor University computer engineer and intelligent design theorist Robert J. Marks. “In this book, Cassell masterfully adds animal algorithms to the list.”