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Introduction To Artificial Intelligence | By Eugene Charniak & Drew McDermott | 1st Edition | Pearson Publication ( English Medium )
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811-1360 |
Introduction To Artificial Intelligence | By Eugene Charniak & Drew McDermott | 1st Edition | Pearson Publication ( English Medium ).
"Introduction to Artificial Intelligence" by Eugene Charniak and Drew McDermott is a foundational textbook that presents a comprehensive overview of the principles, methods, and applications of Artificial Intelligence (AI). Published by Pearson, this 1st Edition is known for its clarity, academic rigor, and historical significance in shaping AI education.
This book offers a structured exploration of the core concepts in AI, including search strategies, knowledge representation, inference, reasoning under uncertainty, natural language processing, and machine learning. It combines theoretical foundations with practical insights, giving readers a solid base to understand both classical and modern approaches in AI.
Key Features:
Authored by two pioneers in the field of AI, known for their contributions to cognitive science and computer science
Focuses on problem-solving techniques, logic-based reasoning, and intelligent system design
Covers a range of AI topics including game playing, semantic networks, rule-based systems, and language understanding
Emphasizes conceptual clarity and algorithmic thinking
Suitable for undergraduate and early postgraduate courses in artificial intelligence
Includes diagrams, examples, and exercises to support learning and self-assessment
Bridges the gap between theory and application, making it useful for both academic study and foundational AI development
This textbook is especially useful for students beginning their journey in AI, educators designing curriculum, and professionals seeking to refresh their understanding of the field’s fundamental concepts. It provides a balanced perspective between symbolic AI and early machine learning approaches, laying the groundwork for further exploration into modern AI techniques.
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SKU / BOOK Code: | Pearson-Artificial-Intelli-(E) |
Publisher: | Pearson Publication |
Author: | Eugene Charniak & Drew McDermott |
Binding Type: | Paperback |
No. of Pages: | 720 |
ISBN-10: | 8131703061 |
ISBN-13: | 978-8131703069 |
Edition: | 1st Edition |
Language: | English Medium |
Publish Year: | 2025-05 |
Weight (g): | 2700 |
Product Condition: | New |
Reading Age: | Above 10 Years |
Country of Origin: | India |
Genre: | Engineering Books |
Manufacturer: | Pearson Publication |
Importer: | Pearson Publication |
Packer: | Fullfilled by Supplier |
Introduction To Artificial Intelligence | By Eugene Charniak & Drew McDermott | 1st Edition | Pearson Publication ( English Medium ).
"Introduction to Artificial Intelligence" by Eugene Charniak and Drew McDermott is a foundational textbook that presents a comprehensive overview of the principles, methods, and applications of Artificial Intelligence (AI). Published by Pearson, this 1st Edition is known for its clarity, academic rigor, and historical significance in shaping AI education.
This book offers a structured exploration of the core concepts in AI, including search strategies, knowledge representation, inference, reasoning under uncertainty, natural language processing, and machine learning. It combines theoretical foundations with practical insights, giving readers a solid base to understand both classical and modern approaches in AI.
Key Features:
Authored by two pioneers in the field of AI, known for their contributions to cognitive science and computer science
Focuses on problem-solving techniques, logic-based reasoning, and intelligent system design
Covers a range of AI topics including game playing, semantic networks, rule-based systems, and language understanding
Emphasizes conceptual clarity and algorithmic thinking
Suitable for undergraduate and early postgraduate courses in artificial intelligence
Includes diagrams, examples, and exercises to support learning and self-assessment
Bridges the gap between theory and application, making it useful for both academic study and foundational AI development
This textbook is especially useful for students beginning their journey in AI, educators designing curriculum, and professionals seeking to refresh their understanding of the field’s fundamental concepts. It provides a balanced perspective between symbolic AI and early machine learning approaches, laying the groundwork for further exploration into modern AI techniques.
Search Key - Introduction to Artificial Intelligence Charniak McDermott, , Eugene Charniak AI book, , Drew McDermott artificial intelligence textbook, , Artificial intelligence Pearson 1st edition, , AI concepts by Charniak and McDermott, , AI fundamentals Eugene Charniak, , Artificial intelligence textbook English medium, , Introduction to AI Pearson publication, , AI for computer science students Charniak, , Classical AI textbook Eugene Charniak, , Early AI approaches Drew McDermott, , Expert systems and reasoning AI Charniak, , AI book for engineering students, , Search algorithms artificial intelligence book, , Knowledge representation Charniak McDermott, , Rule-based systems AI textbook, , Semantic networks and AI book, , Natural language processing Charniak, , Logic in artificial intelligence Charniak McDermott, , Cognitive science and AI textbook, , Game playing AI book Charniak, , Inference and reasoning AI textbook, , Symbolic AI textbook Pearson, , AI classical textbook 1st edition, , AI undergraduate course book, , Artificial intelligence theoretical foundation, , AI academic book Eugene Charniak, , Intelligent systems Charniak McDermott, , AI algorithms and logic based systems, , Drew McDermott AI research textbook, Publisher : Pearson Education India; 1st edition , Language : English, Paperback : 720 pages, ISBN-10 : 8131703061, ISBN-13 : 978-8131703069.
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