Read e-book online Artificial Intelligence: Structures and Strategies for PDF

By George F. Luger

ISBN-10: 0321263189

ISBN-13: 9780321263186

A lot has replaced because the early versions of man-made Intelligence have been released. to mirror this the introductory fabric of this 5th version has been considerably revised and rewritten to catch the buzz of the newest advancements in AI paintings. synthetic intelligence is a various box. to invite the query «what is intelligence?» is to ask as many solutions as there are methods to the topic of man-made intelligence. those might be clever brokers, logical reasoning, neural networks, specialist platforms, evolutionary computing etc.

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Rather than representing knowledge in explicit logical sentences, they capture it implicitly, as a property of patterns of relationships. Another biologically based model of intelligence takes its inspiration from the processes by which entire species adapt to their surroundings. Work in artificial life and genetic algorithms (Cbapter 12) applies the principles of biological evolution to the problems of finding solutions to difficult problems. These programs do not solve problems CHAPTER 1 I AI: EARLY HISTORY AND APPLICATIONS 17 by reasoning logically about them; rather, they spawn populations of competing candidate solutions and drive them to evolve ever better solutions through a process patterned after biological evolution: poor candidate solutions tend to die out, while those that show the promise for solving a problem survive and reproduce by constructing new solutions out of components of their successful parents.

Although Hume didn't address the nature of miracles directly, he did question the testimony-based belief in the miraculous. This skepticism, of course, was seen as a direct threat by believers in the bible as well as many other purveyors of religious traditions. The Reverend Thomas Bayes was both a mathematician and a minister. One of his papers, called Essay towards Solving a Problem in the Doctrine of Chances (1763) addressed Hume's questions mathematically. Bayes' theorem demonstrates formally how, through learning the correlations of the effects of actions, we can determine the probability of their causes.

Because of these advantages, the Turing test provides a basis for many of the schemes actually used to evaluate modern AI programs. A program that has potentially achieved intelligence in some area of expertise may be evaluated by comparing its performance on a given set of problems to that of a human expert. This evaluation technique is just a variation of the Turing test: a group of humans are asked to blindly compare the performance of a computer and a human being on a particular set of problems.

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Artificial Intelligence: Structures and Strategies for Complex Problem Solving by George F. Luger


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