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Fundamentals of Artificial Intelligence
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Fundamentals of Artificial Intelligence
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Fundamentals of Artificial Intelligence/ by K.R. Chowdhary.
Author:
Chowdhary, K.R.
Description:
XXX, 716 p. 225 illus., 1 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence. -
Online resource:
https://doi.org/10.1007/978-81-322-3972-7
ISBN:
9788132239727
Fundamentals of Artificial Intelligence
Chowdhary, K.R.
Fundamentals of Artificial Intelligence
[electronic resource] /by K.R. Chowdhary. - 1st ed. 2020. - XXX, 716 p. 225 illus., 1 illus. in color.online resource.
Introducing Artificial Intelligence -- Logic and Reasoning Patterns -- First Order Predicate Logic -- Rule Based Reasoning -- Logic Programming and Prolog -- Real-world Knowledge Representation -- Networks-based Representation -- State Space Search -- Heuristic Search -- Constraint Satisfaction Problems -- Adversarial Search and Game Theory -- Reasoning in Uncertain Environments -- Machine Learning -- Statistical Learning Theory -- Automated Planning -- Intelligent Agents -- Data Mining -- Information Retrieval -- Natural Language Processing -- Automatic Speech Recognition -- Machine Vision.
Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.
ISBN: 9788132239727
Standard No.: 10.1007/978-81-322-3972-7doiSubjects--Topical Terms:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
Fundamentals of Artificial Intelligence
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Introducing Artificial Intelligence -- Logic and Reasoning Patterns -- First Order Predicate Logic -- Rule Based Reasoning -- Logic Programming and Prolog -- Real-world Knowledge Representation -- Networks-based Representation -- State Space Search -- Heuristic Search -- Constraint Satisfaction Problems -- Adversarial Search and Game Theory -- Reasoning in Uncertain Environments -- Machine Learning -- Statistical Learning Theory -- Automated Planning -- Intelligent Agents -- Data Mining -- Information Retrieval -- Natural Language Processing -- Automatic Speech Recognition -- Machine Vision.
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Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.
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Computer Science (R0) (SpringerNature-43710)
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