
How humans and technology evolve together in a creative partnership. In this book, Edward Ashford Lee makes a bold claim: that the creators of digital technology have an unsurpassed medium for creativity. Technology has advanced to the point where progress seems limited not by physical constraints but the human imagination. Writing for both literate technologists and numerate humanists, Lee makes a case for engineering—creating technology—as a deeply intellectual and fundamentally creative process. Explaining why digital technology has been so transformative and so liberating, Lee argues that the real power of technology stems from its partnership with humans. Lee explores the ways that engineers use models and abstraction to build inventive artificial worlds and to give us things that we never dreamed of—for example, the ability to carry in our pockets everything humans have ever published. But he also attempts to counter the runaway enthusiasm of some technology boosters who claim everything in the physical world is a computation—that even such complex phenomena as human cognition are software operating on digital data. Lee argues that the evidence for this is weak, and the likelihood that nature has limited itself to processes that conform to today's notion of digital computation is remote. Lee goes on to argue that artificial intelligence's goal of reproducing human cognitive functions in computers vastly underestimates the potential of computers. In his view, technology is coevolving with humans. It augments our cognitive and physical capabilities while we nurture, develop, and propagate the technology itself. Complementarity is more likely than competition.
Facebook, relativity, Silicon Valley, engineering, Cantor, Go¨ del, digital machine, programming language, Turing, computable, quantum computing, open source, describable, operating system, Bell Labs, compiler, semantics, cloud computing, quantum mechanics, positivist, self-reference, digital physics, effectively computable, emergent phenomena, Bohr, continuous entropy, machine learning, von Neumann, artificial intelligence, Bekenstein, Penrose, Popper, Charles' law, Stephen Hawking, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBR Intermediate technology, probability, Boyle's law, cyber-physical system, Turing machine, Aristotle, Searle, Serres, falsifiability, concrete model, encryption, algorithm, cryptography, Boltzmann, Golomb, Kuhn, Google, digital chaos, thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society, Edsger Dijkstra, Heisenberg, self-driving car, AI, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBY Inventions and inventors, Berners-Lee, systems, Einstein
Facebook, relativity, Silicon Valley, engineering, Cantor, Go¨ del, digital machine, programming language, Turing, computable, quantum computing, open source, describable, operating system, Bell Labs, compiler, semantics, cloud computing, quantum mechanics, positivist, self-reference, digital physics, effectively computable, emergent phenomena, Bohr, continuous entropy, machine learning, von Neumann, artificial intelligence, Bekenstein, Penrose, Popper, Charles' law, Stephen Hawking, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBR Intermediate technology, probability, Boyle's law, cyber-physical system, Turing machine, Aristotle, Searle, Serres, falsifiability, concrete model, encryption, algorithm, cryptography, Boltzmann, Golomb, Kuhn, Google, digital chaos, thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society, Edsger Dijkstra, Heisenberg, self-driving car, AI, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBY Inventions and inventors, Berners-Lee, systems, Einstein
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 36 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
