Professor Richard Watson from Electronics and Computer Science says new research shows that evolution is able to learn from previous experience, which could provide a better explanation of how evolution by natural selection produces such apparently intelligent designs.
By unifying the theory of evolution (which shows how random variation and selection is sufficient to provide incremental adaptation) with learning theories (which show how incremental adaptation is sufficient for a system to exhibit intelligent behaviour), this research shows that it is possible for evolution to exhibit some of the same intelligent behaviours as learning systems (including neural networks).
In an opinion paper, published in Trends in Ecology and Evolution, Professors Watson and Eörs Szathmáry, from the Parmenides Foundation in Munich, explain how formal analogies can be used to transfer specific models and results between the two theories to solve several important evolutionary puzzles.
Professor Watson says:
“Darwin’s theory of evolution describes the driving process, but learning theory is not just a different way of describing what Darwin already told us. It expands what we think evolution is capable of. It shows that natural selection is sufficient to produce significant features of intelligent problem-solving.”
You can read the full press release here.