By Stuart J. Russell, Peter Norvig
A hugely obtainable, up to date expert reference for programmers, software program engineers, procedure directors, or technical managers, this ebook integrates cutting-edge AI ideas into clever agent designs utilizing examples and workouts to guide the reader from easy reactive brokers to complete knowledge-based brokers with average language features.
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Extra info for Artificial Intelligence: Modern Approach
In the mid-17th century, Blaise Pascal built a mechanical adding 1 10 Heath Robinson was a cartoonist famous for his depictions of whimsical and absurdly complicated contraptions for everyday tasks such as buttering toast. 2. The Foundations of Artificial Intelligence 15 and subtracting machine called the Pascaline. Leibniz improved on this in 1694. building a mechanical device that multiplied by doing repeated addition. Progress stalled for over a century unti 1 Charles Babbage (1792-1871) dreamed that logarithm tables could be computed by machine.
Chapter Introduction Knowledge-based systems: The key to power? (1969-1979) The picture of problem solving that had arisen during the first decade of AI research was of a general-purpose search mechanism trying to string together elementary reasoning steps to find WEAK METHODS complete solutions. Such approaches have been called weak methods, because they use weak information about the domain. For niany complex domains, it turns out that their performance is also weak. The only way around this is to use knowledge more suited to making larger reasoning steps and to solving typically occurring cases in narrow areas of expertise.
Early work by Austin Tate (1977), followed up by David Chapman (1987), has resulted in an elegant synthesis of existing planning programs into a simple framework.