Some time ago, computer scientist Richard Watson, who is an associate professor at the University of Southampton, UK, attempted to solve the dilemma by suggesting that evolution is evolvable.
This idea has been around for at least two decades or so.
Writing in The Conversation, his title already lets the Darwinian cat out of the bag to catch the nasty design mice: Intelligent design without a creator? Why evolution may be smarter than we thought.
He makes it clear that he will not accept any explanations that acknowledge the existence of authentic design.
He basically says that while evolution might initially be dumb and blind, it is not at all that stupid. He believes that it can learn. His thesis features the regulatory connections between genes and neural networks:
“The evolution of regulatory connections between genes, which govern how genes are expressed in our cells, has the same learning capabilities as neural networks. In other words, gene networks evolve like neural networks learn. While connections in neural networks change in the direction that maximises rewards, natural selection changes genetic connections in the direction that increases fitness. The ability to learn is not itself something that needs to be designed – it is an inevitable product of random variation and selection when acting on connections.”
A major drawback with this approach (from the naturalistic /materialistic perspective, that is) is that it assumes that at its inception, the genome is already complicated. It does not address the dilemma of how Darwinian processes could ever come up with such an intelligent system.
Ignoring this obvious shortcoming, Mr. Watson nevertheless pursues his Darwinian pipe dream:
“The exciting implication of this is that evolution can evolve to get better at evolving in exactly the same way that a neural network can learn to be a better problem solver with experience. The intelligent bit is not explicit ‘thinking ahead’ (or anything else un-Darwinian); it is the evolution of connections that allow it to solve new problems without looking ahead.”