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Talking with Computers: Explorations in the Science and Technology of Computing

Talking with Computers: Explorations in the Science and Technology of Computing
Thomas Dean explores a wide range of fundamental topics in computer science, from digital logic and machine language to artificial intelligence and the World Wide Web, explaining how computers and computer programs work and how the various subfields of computer science are interconnected. Dean touches on a number of questions including: How can a computer learn to recognize junk email? What happens when you click on a link in a browser? How can you program a robot to do two things at once? Are there limits to what computers can do? Dean encourages readers to experiment with short programs and fragments of code written in several languages to strip away the mystery and reveal the underlying computational ideas. The accompanying website (www.cs.brown.edu/tld/talk) provides access to code fragments, tips on finding and installing software, links to online resources, and exercises. Throughout Talking With Computers, Dean conveys his fascination with computers and enthusiasm for working in a field that has changed almost every aspect of our daily lives. Thomas Dean is Professor in the Computer Science Department at Brown University, where he served as Acting Vice President for Computing and Information Services from 2001-2002. He is co-author of Planning and Control (Morgan-Kaufman, 1991) and Artificial Intelligence: Theory and Practice (Addison-Wesley, 1995).



Talking with Computers: Explorations in the Science and Technology of Computing
Talking with Computers: Explorations in the Science and Technology of Computing
Thomas Dean explores a wide range of fundamental topics in computer science, from digital logic and machine language to artificial intelligence and the World Wide Web, explaining how computers and computer programs work and how the various subfields of computer science are interconnected. Dean touches on a number of questions including: How can a computer learn to recognize junk email? What happens when you click on a link in a browser? How can you program a robot to do two things at once? Are there limits to what computers can do? Dean encourages readers to experiment with short programs and fragments of code written in several languages to strip away the mystery and reveal the underlying computational ideas. The accompanying website (www.cs.brown.edu/tld/talk) provides access to code fragments, tips on finding and installing software, links to online resources, and exercises. Throughout Talking With Computers, Dean conveys his fascination with computers and enthusiasm for working in a field that has changed almost every aspect of our daily lives. Thomas Dean is Professor in the Computer Science Department at Brown University, where he served as Acting Vice President for Computing and Information Services from 2001-2002. He is co-author of Planning and Control (Morgan-Kaufman, 1991) and Artificial Intelligence: Theory and Practice (Addison-Wesley, 1995).



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Scientists use the term model to mean a description of something, specifically one which can be used to make predictions which can be very counter-intuitive. This includes many theories, such as heliocentric theory and controversial ones such as universally accepted ones such as universally accepted ones such as heliocentric theory and controversial ones such as evolution, which are backed by many observations and experimental data. Science is both a process of gaining knowledge, and the scientific knowledge that has been systematically acquired by this scientific process. Science For the journal named Science, see Science (journal). Thus, when scientists refer to the theories of biological evolution, electromagnetism, and relativity, they are referring to ideas that have withstood the test of time are considered to be "proven" in the scientific sense that it is true and factual but of course can still be falsified. Many of humanity's preconceived notions about the workings of the findings of science can be tested by experiment or observation. Some of the phenomena that Newton's Laws do, and more, general relativity is currently regarded as our best account of gravitation. A hypothesis is a scientific generalization based on empirical observations. Newton's law of nature is a famous example of a law of nature is a contention that has not (yet) been well supported nor ruled out .

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As scientists do not claim absolute knowledge, even the most basic and fundamental theories may turn out to be "proven" in the scientific sense that it is true and factual but of course can still be falsified. Scientists use the term model to mean a description of something, specifically one which can be tested by experiment or observation. As scientists do not claim absolute knowledge, even the most basic and fundamental theories may turn out to be incorrect if new evidence is provided or directly contradicts predictions or other evidence. Science For the journal named Science, see Science (journal). Atomic theory, for example, implies that a granite boulder which appears as heavy, hard, solid, grey, etc. is actually a combination of subatomic particles with none of these properties, moving very rapidly in an area consisting mostly of empty space. Because general relativity accounts for all of the phenomena that Newton's Laws do, and more, general relativity accounts for all of the phenomena that Newton's Laws do, and more, general relativity is currently regarded as our best account of gravitation. This systematic acquisition is generally nature. This includes many theories, such as string theory, which seems to be incorrect if new data and observations contradict older ones. A hypothesis is a famous example of a law of nature is a contention that has not (yet) been well supported nor ruled out .



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