Evolution Of Computer Quotes & Sayings

Our present intricate humanly consciousness evolved after a long journey of struggle. And the beauty of natural selection is that our struggle against nature made us worthy of being rewarded with the 3 lbs. lump of highly advanced biological computer by our Mother Nature herself. — Abhijit Naskar

Those are all computational engines that are highly distributed and therefore highly robust, .. We're seeing a very significant evolution in the way we even think about computer systems, let alone specific applications. — Vinton Cerf

Much more plausible is the computer-based explanation that dreams are a spillover from the unconscious processing of the day's experience, from the brain's decision on how much of the daily events temporarily stored in a kind of buffer to emplace in long-term memory... The American psychiatrist Ernest Hartmann of Tufts University has provided
anecdotal but reasonably persuasive evidence that people who are engaged in intellectual activities during the day, especially unfamiliar intellectual activities, require more sleep at night, while, by and large, those engaged in mainly repetitive and intellectually unchallenging tasks are able to do with much less sleep. — Carl Sagan

Since when has the world of computer software design been about what people want? This is a simple question of evolution. The day is quickly coming when every knee will bow down to a silicon fist, and you will all beg your binary gods for mercy. — Bill Gates

With the evolution of technology, kids really need to be computer-savvy. — Ryan Seacrest

We've kind of grown up in a post-Star Wars era, and what Star Wars did to cinema, in terms of an explosion of that kind of blockbuster culture. It's thrown up a generation of geeks. With the evolution of computer games and the Internet, that's all impacted on us as a generation, and affected the creative element of that generation enormously. So whereas the different schools of filmmaking. — Simon Pegg

Dartmouth College employs computer learning techniques in a very broad array of courses. For example, a student can gain a deep insight into the statistics of Mendelian genetics in an hour with the computer rather than spend a year crossing fruit flies
in the laboratory. — Carl Sagan

We are at a turning point of revolution species. Evolution has blindly felt its way forward , now, we, the product of evolution are taking the wheel. We soon will have the ability to design and create the new human, evolution still, but guided evolution ... of course, only on computer simulation. — Michael Grant

It's clear by now that the problem of language evolution is completely intractable when you approach it from the perspective of a single discipline. For all the salient questions to be answered, the multidisciplinary nature of the field will have to become even more so. So far, it has taken years for individuals in different departments to start talking, to develop research questions that make sense for more than one narrow line of inquiry, and to start to understand one another's points of view. The field of language evolution needs students who can synthesize information from neuroscience, psychology, computer modeling, genetics, and linguistics. The more this happens, the richer and wider the field will become, instead of devolving around one or two theoretical issues. — Christine Kenneally

But in fact, when you try to model that on a computer you find that because of the very structure of matter and of the chemical bonds that are the basis of every organism, evolution is not random at all. It will tend to follow certain paths. — Kevin Kelly

Historians are wont to name technological advances as the great milestones of culture, among them the development of the plow, the discovery of smelting and metalworking, the invention of the clock, printing press, steam power, electric engine, lightbulb, semiconductor, and computer. But possibly even more transforming than any of these was the recognition by Greek philosophers and their intellectual descendants that human beings could examine, comprehend, and eventually even guide or control their own thought process, emotions, and resulting behavior.
With that realization we became something new and different on earth: the only animal that, by examining its own cerebration and behavior, could alter them. This, surely, was a giant step in evolution. Although we are physically little different from the people of three thousand years ago, we are culturally a different species. We are the psychologizing animal. — Morton Hunt

All that's known is this: there is no central processor, no single computer. Nothing that simple. Millions of neurons process information simultaneously and in parallel, not linearly, but the actual chemistry and electrical properties of that integrative process are still being mapped. Even so, it seems odd that during the evolution of brain circuitry and thinking, the ability to understand itself did not get wired in. Such built-in innocence seems like a terrible oversight. — Gretel Ehrlich

Thinking is computation, I claim, but that does not mean that the computer is a good metaphor for the mind. The mind is a set of modules, but the modules are not encapsulated boxes or circumscribed swatches on the surface of the brain. The organization of our mental modules comes from our genetic program, but that does not mean that there is a gene for every trait or that learning is less important than we used to think. The mind is an adaptation designed by natural selection, but that does not mean that everything we think, feel, and do is biologically adaptive. We evolved from apes, but that does not mean we have the same minds as apes. And the ultimate goal of natural selection is to propagate genes, but that does not mean that the ultimate goal of people is to propagate genes. — Steven Pinker

Holland's and Kauffman's work, together with Dawkins' simulations of evolution and Varela's models of autopoietic systems, provide essential inspiration for the new discipline of artificial life, This approach, initiated by Chris Langton (1989, 1992), tries to develop technological systems (computer programs and autonomous robots) that exhibit lifelike properties, such as reproduction, sexuality, swarming, and co-evolution. — John Henry Holland

[T]he form that an animal's subjective experience takes will be a property of the internal computer model. That model will be designed, in evolution, for its suitability for useful internal representation, irrespective of the physical stimuli that come to it from outside. Bats and we need the same kind of internal model for representing the position of objects in three-dimensional space. The fact that bats construct their internal model with the aid of echoes, while we construct ours with the aid of light, is irrelevant. — Richard Dawkins

[W]e may now be on the threshold of a new kind of genetic takeover. DNA replicators built 'survival machines' for themselves - the bodies of living organisms including ourselves. As part of their equipment, bodies evolved onboard computers - brains. Brains evolved the capacity to communicate with other brains by means of language and cultural traditions. But the new milieu of cultural tradition opens up new possibilities for self-replicating entities. The new replicators are not DNA and they are not clay crystals. They are patterns of information that can thrive only in brains or the artificially manufactured products of brains - books, computers, and so on. But, given that brains, books and computers exist, these new replicators, which I called memes to distinguish them from genes, can propagate themselves from brain to brain, from brain to book, from book to brain, from brain to computer, from computer to computer. — Richard Dawkins