Download PDF by Stuart J. Russell, Peter Norvig: Artificial Intelligence: Modern Approach

By Stuart J. Russell, Peter Norvig

ISBN-10: 0131038052

ISBN-13: 9780131038059

A hugely available, updated expert reference for programmers, software program engineers, process directors, or technical managers, this publication integrates cutting-edge AI recommendations into clever agent designs utilizing examples and routines to steer the reader from uncomplicated reactive brokers to complete knowledge-based brokers with average language functions.

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Additional resources for Artificial Intelligence: Modern Approach

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There are also ways of acting rationally that cannot be reasonably said to involve inference. For example, pulling one's hand off of a hot stove is a reflex action that is more successful than a slower action taken after careful deliberation. All the "cognitive skills" needed for the Turing Test are there to allow rational actions. Thus, we need the ability to represent knowledge and reason with it because this enables us to reach good decisions in a wide variety of situations. We need to be able to generate comprehensible sentences in natural language because saying those sentences helps us get by in a complex society.

Gelernter soon found that there were too many possible reasoning paths to follow, most of which turned out to be dead ends. To help focus the search, he added the capability to create a numerical representation of a diagram—a particular case of the general theorem to be proved. Before the program tried to prove something, it could first check the diagram to see if it was true in the particular case. Starting in 1952, Arthur Samuel wrote a series of programs for checkers (draughts) that eventually learned to play tournament-level checkers.

Two aspects of HMMs are relevant to the present discussion. First, they are based on a rigorous mathematical theory. This has allowed speech researchers to build on several decades of mathematical results developed in other fields. Second, they are generated by a process of training on a large corpus of real speech data. This ensures that the performance is robust, and in rigorous blind tests the HMMs have been steadily improving their scores. Speech technology and the related field of handwritten character recognition are already making the transition to widespread industrial and consumer applications.

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Artificial Intelligence: Modern Approach by Stuart J. Russell, Peter Norvig


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