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" "The computer scientists Jeff Clune, Jean-Baptiste Mouret, and Hod Lipson did what computer scientists do: they designed computer simulations.23 They used well-studied networks that had sensory inputs and produced outputs. What those outputs were determined how well the network performed when faced with environmental problems. They simulated twenty-five thousand generations of evolution, programming in a direct selection pressure to either maximize performance alone or maximize performance and minimize connection costs. And voilà! Once wiring-cost-minimization was added, in both changing and unchanging environments, modules immediately began to appear, whereas without the stipulation of minimizing costs, they didn’t. And when the three looked at the highest-performing networks that evolved, those networks were modular. Among that group, they found that the lower the costs were, the greater the modularity that resulted. These networks also evolved much quicker — in markedly fewer generations — whether in stable or changing environments. These simulation experiments provide strong evidence that selection pressures to maximize network performance and minimize connection costs will yield networks that are significantly more modular and more evolvable.
Michael S. Gazzaniga (born December 12, 1939) is an American neuroscientist, author and professor of psychology at the University of California, Santa Barbara, where he heads the new SAGE Center for the Study of the Mind.
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Reductionism in the physical sciences has been challenged by the principle of emergence. The whole system acquires qualitatively new properties that cannot be predicted from the simple addition of those of its individual components. One might apply the aphorism that the new system is greater than the sum of its parts. There is a phase shift, a change in the organizational structure, going from one scale to the next.
Conscious linear thinking is hard work. I’m sweating it right now. It is as if our mind is a bubbling pot of water. Which bubble will make it up to the top at any given moment is hard to predict. The top bubble ultimately bursts into an idea, only to be replaced by more bubbles. The surface is forever energized with activity, endless activity, until the bubbles go to sleep. The arrow of time stitches it all together as each bubble comes up for its moment. Consider that maybe, just maybe, consciousness can be understood only as the brain’s bubbles, each with its own hardware to close the gap, getting its moment. If that sounds obscure, read the book to find out for yourself whether you can see it this way, too. Importantly, enjoy your thoughts as they bubble up to the surface of your own consciousness. PART I: GETTING READY FOR MODERN THOUGHT
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