Introduction To Artificial Intelligence Pdf Ebook

Introduction To Artificial Intelligence Pdf Ebook 8,3/10 6065 votes

About The Book Introduction To Artificial IntelligenceBook Summary: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. Cxmb themes for 6.60 pro b9 2017. Key FeaturesExposes 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.Table of Contents:Preamble1. Overview of Artificial Intelligence 2. Symbolic Logic 3. Knowledge Acquisition and Representation 4. Reasoning and KRR Systems 5.

Browse Computers Artificial Intelligence eBooks to read online or download in EPUB or PDF format on your mobile device and PC.

Uncertainty 6. Search Techniques 7. AI Technologies 8. Expert Systems 9. Neural Networks 10.

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Case-Based Reasoning 11. Constraint Programming 12.

Intelligent Agents 13. Soft Computing 15. Machine Learning 17. Intelligent Systems 18. Applications of Artificial IntelligenceAppendices A: Projects B: PROLOG C: LISP D: AI Tools Glossary Bibliography Index.

Book DescriptionComputers and Thought provides a unified, self-contained introduction to artificial intelligence for readers with little or no computing background. It presents an original extended AI programming project - the Automated Tourist Guide exercise throughout the main chapters of the text to illustrate the material covered and show how AI actually works. Most chapters illustrate a particular AI topic, with sections on the background to the topic, methods, applications, and the limitations of previous proposals.In addition, there are end of chapter summaries and graded exercises, suggested readings, a glossary, and an appendix on programming.Computers and Thought details the theory and issues involved in AI and covers computer simulation of human activities, such as problem solving and natural language understanding, and computer vision. Its investigation of AI is usefully extended to models of cognition, the nature of mind and intelligence, and the social implications of AI and cognitive science.The computer language is POP-11, an easy to learn language that can be used interactively, like LISP, and that has an appearance similar to PASCAL. It is not necessary to run the illustrative POP-11 programs on a computer, since a feature of the language is the ease with which it can be understood from the printed page.

About the Authors.David Poole is a Professor of Computer Science at the University of British Columbia. He is known for his research on abductive and default reasoning, probabilistic inference, and relational probabilistic models, and he has recently been working on semantic science, combining ontologies, data, and rich probabilistic theories.Alan Mackworth is a Professor of Computer Science and Canada Research Chair in Artificial Intelligence at the University of British Columbia. He is known for his research on constraint-based systems and agents, hybrid systems, and robot soccer.Reviews, Ratings, and Recommendations:.Related Book Categories:.Read and Download Links:.Similar Books:.