By Robert J. Dilligan
This ebook displays thirty years of expertise within the functions of machine know-how to literary study and guideline and in consulting paintings in workplace automation and approach integration. In that point i've got many times stumbled on myself within the place of getting to introduce scholars, either undergraduate and graduate, colleagues and consumers to the basics of computing device and software program. through the years, as desktops turned either significant and general in specialist lifestyles, i've been conscious of altering attitudes towards this know-how. From attitudes that ranged from the disdain of platonic dialecticians for mere expertise to intimidation bordering every now and then nearly on terror, humans have moved to include this new expertise into their body of reference ( humani nil a me alienum ). the advance of the microprocessor and its next use for notice processing marked one vital watershed. The common use of note processors made it much more likely than no longer that individuals could personal their very own pcs, at the least at paintings, and use them as a part of their work-a-day actions. yet whereas be aware processing supplied a few elevated familiarity with desktops, it didn't lead so much indivi- als a lot past an information of the standard incantations had to keep an eye on the MultiMate or Nota Bene or be aware ideal golam and, due to unsatisfied adventure, a begrudging attractiveness of the necessity to make again up copies of vital files.
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Extra info for Computing in the Web Age: A Web-Interactive Introduction
Like Penrose and Searle, he focuses his criticism on the “strong AI” position that holds that human consciousness is a function of the logical symbol manipulations of a Turing machine, that it is, in other words, an algorithm for generating computable numbers. And like Penrose, both Searle and Dreyfus are open to the possibility that an approach to the problem of artificial intelligence that is not limited to programming an algorithm or algorithms might succeed. To their way of thinking, an artificial intelligence system that was embodied in a robot capable of self-organization or that replicated the function of the neurons of the cerebral cortex might succeed where purely computational approaches must, a priori, fail.
36 Suppose, Searle argues, that we knew how to program a computer to translate Chinese into idiomatic English. He imagines a computer as a box into which we insert slips of paper containing messages in Chinese and out of which comes translations of the Chinese into English. According to Searle, this would mean that we had solved the problem of artificial intelligence according to the Turing Test, since we could not tell the difference between the machine’s translations and those of a human translator.
It is also easier to maintain backup copies of crucial data files when they reside on one machine rather than on a number of machines in different locations. Server and peer-to-peer networks share a common problem that arises from the very nature of their success. In making available large data files to large numbers of users, they place severe strains on the capacity of the network to transmit the data. Remember that in a computer, data moves back and forth from a peripheral device to memory to the CPU.
Computing in the Web Age: A Web-Interactive Introduction by Robert J. Dilligan