An introduction to artificial intelligence Download an introduction to artificial intelligence or read online here in PDF or EPUB. Please click button to get an introduction to artificial intelligence book now. All books are in clear copy here, and all files are secure so don't worry about it. New Syllabus For M.Sc‐II. Semester- III PAPER – M.Sc 3.1 Artificial Intelligence Unit- 1: (15hrs) Introduction to Artificial Intelligence and Problem Solving: Definition. Rajendra Akerkar, “Introduction to artificial Intelligence” 3. Eugene Charniak, Drew McDermott, 'Introduction to Artificial Intelligence'.
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Author by: Wolfgang Ertel Language: en Publisher by: Springer Format Available: PDF, ePub, Mobi Total Read: 17 Total Download: 823 File Size: 49,8 Mb Description: 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. Author by: RAJENDRA AKERKAR Language: en Publisher by: PHI Learning Pvt. Format Available: PDF, ePub, Mobi Total Read: 35 Total Download: 707 File Size: 43,5 Mb Description: This comprehensive text acquaints the readers with the important aspects of artificial intelligence (AI) and intelligent systems and guides them towards a better understanding of the subject.
The text begins with a brief introduction to artificial intelligence, including application areas, its history and future, and programming. It then deals with symbolic logic, knowledge acquisition, representation and reasoning. The text also lucidly explains AI technologies such as computer vision, natural language processing, pattern recognition and speech recognition. Topics such as expert systems, neural networks, constraint programming and case-based reasoning are also discussed in the book.
In the Second Edition, the contents and presentation have been improved thoroughly and in addition six new chapters providing a simulating and inspiring synthesis of new artificial intelligence and an appendix on AI tools have been introduced. The treatment throughout the book is primarily tailored to the curriculum needs of B.E./B.Tech. Students in Computer Science and Engineering, B.Sc. (Hons.) and M.Sc.
Students in Computer Science, and MCA students. The book is also useful for computer professionals interested in exploring the field of artificial intelligence. Key Features. Exposes the readers to real-world applications of AI. Concepts are duly supported by examples and cases.
Provides appendices on PROLOG, LISP and AI Tools. Incorporates most recommendations of the Curriculum Committee on Computer Science/Engineering for AI and Intelligent Systems. Exercises provided will help readers apply what they have learned. Author by: Alan Garnham Language: en Publisher by: Routledge Format Available: PDF, ePub, Mobi Total Read: 99 Total Download: 903 File Size: 44,9 Mb Description: First published in 1987, this book provides a stimulating introduction to artificial intelligence (AI) - the science of thinking machines.
After a general introduction to AI, including its history, tools, research methods, and its relation to psychology, Garnham gives an account of AI research in five major areas: knowledge representation, vision, thinking and reasoning, language, and learning. He then describes the more important applications of AI and discusses the broader philosophical issues raised by the possibility of thinking machines. In the final chapter, he speculates about future research in AI, and more generally in cognitive science. Suitable for psychology students, the book also provides useful background reading for courses on vision, thinking and reasoning, language and learning. Author by: Janet Finlay Language: en Publisher by: CRC Press Format Available: PDF, ePub, Mobi Total Read: 16 Total Download: 376 File Size: 52,7 Mb Description: An authoritative and accessible one-stop resource, An Introduction to Artificial Intelligence presents the first full examination of AI.
Designed to provide an understanding of the foundations of artificial intelligence, it examines the central computational techniques employed by AI, including knowledge representation, search, reasoning, and learning, as well as the principal application domains of expert systems, natural language, vision, robotics, software agents and cognitive modeling. Many of the major philosophical and ethical issues of AI are also introduced. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises.
The authors bring this exciting field to life by presenting a substantial and robust introduction to artificial intelligence in a clear and concise coursebook form. This book stands as a core text for all computer scientists approaching AI for the first time. Author by: Richard E. Neapolitan Language: en Publisher by: CRC Press Format Available: PDF, ePub, Mobi Total Read: 49 Total Download: 441 File Size: 40,5 Mb Description: The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI.
This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods. The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based methods.
Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning. The final section of the book focuses on natural language understanding. Suitable for undergraduate and beginning graduate students, this class-tested textbook provides students and other readers with key AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics, financial decision making, speech and text recognition, genetic analysis, and more.