Fundamentals of artificial intelligence : problem solving and automated reasoning / by Miroslav Kubat.
Material type:
TextPublisher: United States of America : McGraw Hill, c2023Description: xxv, 293 pages : colored illustrations ; 24 cmContent type: text Media type: unmediated Carrier type: volume ISBN: 9781260467789 [harbound]Subject(s): Artificial intelligence| Item type | Current location | Call number | Status | Date due | Barcode |
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Subject Reference
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College Library Subject Reference | 006.3 K95 2023 (Browse shelf) | Available | 3UCBL000029433 |
Includes bibliographical references and index.
Contents: 1 Core AI: problem solving and automated reasoning -- 2 Blind search -- 3 Heuristic search and annealing -- 4 Adversary search -- 5 Planning -- 6 Genetic algorithm -- 7 Artificial life -- 8 Emergent properties and swam intelligence -- 9 Elements of automated reasoning -- 10 Logic and reasoning, simplified -- 11 Logic and reasoning using variables -- 12 Alternative ways of representing knowledge -- 13 Hurdles on the road to automated reasoning -- 14 Probabilistic reasoning -- 15 Fuzzy sets -- 16 Highs and lows of experts systems -- 17 Beyond core AI -- 18 Philosophical musings.
A"A hands-on introduction to the principles and practices of modern artificial intelligenceThis comprehensive textbook focuses on the core techniques and processes underlying today’s artificial intelligence, including algorithms, data structures, logic, automated reasoning, and problem solving.
The book contains information about planning and about expert systems. Fundamentals of Artificial Intelligence: Problem Solving and Automated Reasoning is written in a concise format with a view to optimizing learning.
Each chapter contains a brief historical overview, control questions to reinforce important concepts, plus computer assignments and ideas for independent thought.
The book includes many visuals to illustrate the essential ideas and many examples to show how to use these ideas in practical implementations. Presented in a concise format to optimize learning. Includes historical overviews, summaries, exercises, thought experiments, and computer assignments. Written by a recognized artificial intelligence expert and experienced author." --Provided by the publisher
Adult
Purchased Ortega, Eric College of Computer Studies Computer Studies : Information Technology
Text in English

Subject Reference
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