By Wolfgang Ertel
This concise and available textbook helps a starting place or module path on A.I., overlaying a vast choice of the subdisciplines inside this box. The publication offers concrete algorithms and functions within the parts of brokers, common sense, seek, reasoning below uncertainty, computing device studying, neural networks and reinforcement studying. subject matters and contours: provides an application-focused and hands-on method of studying the topic; offers examine routines of various levels of hassle on the finish of every bankruptcy, with ideas given on the finish of the ebook; helps the textual content with highlighted examples, definitions, and theorems; contains chapters on predicate good judgment, PROLOG, heuristic seek, probabilistic reasoning, desktop studying and knowledge mining, neural networks and reinforcement studying; includes an in depth bibliography for deeper interpreting on additional subject matters; provides extra educating assets, together with lecture slides and coaching facts for studying algorithms, at an linked web site.
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Extra resources for Introduction to Artificial Intelligence (Undergraduate Topics in Computer Science)
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