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  • Ký hiệu PL/XG: 006.3 E734
    Nhan đề: Introduction to artificial intelligence /
ISBN 9783319584867
DDC 006.3
Tác giả CN Ertel, Wolfgang
Nhan đề Introduction to artificial intelligence / Wolfgang Ertel; Nathanael Black; Florian Mast
Lần xuất bản Second edition
Thông tin xuất bản Cham, Switzerland : Springer, 2017
Mô tả vật lý 365 pages. : illustrations
Tùng thư Undergraduate topics in computer science
Tóm tắt This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning. Topics and features: Presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website Contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons Includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learn ing Reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW) Examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes' theorem and its relevance in everyday life (NEW) Discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW) Includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW) Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material. Dr. Wolfgang Ertel is a professor at the Institute for Artificial Intelligence at the Ravensburg-Weingarten University of Applied Sciences, Germany.
Thuật ngữ chủ đề Computer science
Thuật ngữ chủ đề Computer simulation
Thuật ngữ chủ đề Artificial intelligence
Thuật ngữ chủ đề Information theory
Khoa Khoa Công nghệ Thông tin
Tác giả(bs) CN Black, Nathanael
Tác giả(bs) CN Mast, Florian
Địa chỉ Thư Viện Đại học Nguyễn Tất Thành
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100 |aErtel, Wolfgang
245 |aIntroduction to artificial intelligence / |cWolfgang Ertel; Nathanael Black; Florian Mast
250 |aSecond edition
260 |aCham, Switzerland : |bSpringer, |c2017
300 |a365 pages. : |billustrations
490 |aUndergraduate topics in computer science
504 |aIncludes bibliographical references (pages 349-359) and index.
520 |aThis accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning. Topics and features: Presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website Contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons Includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learn ing Reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW) Examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes' theorem and its relevance in everyday life (NEW) Discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW) Includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW) Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material. Dr. Wolfgang Ertel is a professor at the Institute for Artificial Intelligence at the Ravensburg-Weingarten University of Applied Sciences, Germany.
541 |aSpringer
650 |aComputer science
650 |aComputer simulation
650 |aArtificial intelligence
650 |aInformation theory
690 |aKhoa Công nghệ Thông tin
700 |aBlack, Nathanael
700 |aMast, Florian
852 |aThư Viện Đại học Nguyễn Tất Thành
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