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Get Artificial Intelligence: Foundations of Computational Agents PDF

By David L. Poole, Alan K. Mackworth

ISBN-10: 0511727569

ISBN-13: 9780511727566

Fresh a long time have witnessed the emergence of synthetic intelligence as a major technology and engineering self-discipline. synthetic Intelligence: Foundations of Computational brokers is a textbook aimed toward junior to senior undergraduate scholars and first-year graduate scholars. It offers synthetic intelligence (AI) utilizing a coherent framework to check the layout of clever computational brokers. through exhibiting how simple methods healthy right into a multidimensional layout area, readers can research the basics with out wasting sight of the larger photograph. The ebook balances thought and test, displaying how one can hyperlink them in detail jointly, and develops the technology of AI including its engineering purposes.

Although dependent as a textbook, the book's ordinary, self-contained type also will entice a large viewers of execs, researchers, and self reliant newbies. AI is a speedily constructing box: this ebook encapsulates the newest effects with out being exhaustive and encyclopedic. It teaches the most ideas and instruments that might enable readers to discover and examine on their lonesome.

The textual content is supported via an internet studying surroundings, artint.info, in order that scholars can test with the most AI algorithms plus difficulties, animations, lecture slides, and an information illustration process for experimentation and challenge fixing.

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Additional resources for Artificial Intelligence: Foundations of Computational Agents

Sample text

The advantage of building agents for complex environments is that these are the types of environments in which humans live and want our agents to live. Fortunately, research along both lines is being carried out. In the first case, researchers start with simple environments and make the environments more complex. In the second case, researchers increase the complexity of the behaviors that the agents can carry out. 5 Dimensions of Complexity Agents acting in environments range in complexity from thermostats to companies with multiple goals acting in competitive environments.

However, bounded rationality can be the basis for approximate reasoning. 6 summarizes the dimensions of complexity. Unfortunately, we cannot study these dimensions independently because they interact in complex ways. Here we give some examples of the interactions. The representation dimension interacts with the modularity dimension in that some modules in a hierarchy may be simple enough to reason in terms of a finite set of states, whereas other levels of abstraction may require reasoning about individuals and relations.

The painting robot would not notice if a different sort of part were present and, even if it did, it would not know what to do with it. It would have to be redesigned or reprogrammed to paint different parts or to change into a sanding machine or a dog washing machine. • At the other extreme is a very flexible agent that can survive in arbitrary environments and accept new tasks at run time. Simple biological agents such as insects can adapt to complex changing environments, but they cannot carry out arbitrary tasks.

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Artificial Intelligence: Foundations of Computational Agents by David L. Poole, Alan K. Mackworth


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