Who this book is best for
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This chapter deals with the representation of knowledge in AI systems. The author discusses various knowledge representation techniques, such as propositional logic, predicate logic, and semantic networks.
Uniquely, a dedicated chapter discusses the languages used in AI development, highlighting the shift from theory to actual software construction. Who this book is best for If you
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Techniques like Breadth-First Search (BFS) and Depth-First Search (DFS) explore the state space systematically without domain-specific knowledge.
makes it a valuable jumping-off point for more advanced studies. Where to Find It and defuzzification methods.
Fuzzy sets, membership functions, fuzzification, and defuzzification methods. 4. Expert Systems
"Artificial Intelligence and Intelligent Systems" by Dr. N.P. Padhy is a comprehensive textbook for engineering professionals that bridges foundational AI theory with practical applications like neural networks and nature-inspired algorithms. The work emphasizes application-oriented learning, covering topics from search strategies to knowledge representation, available through academic publishers. Access the textbook details at OUP India .
Step-by-step mathematical explanations of Greedy Best-First Search, A* Algorithm, and AO* Algorithm for AND-OR graphs. such as propositional logic
If you are evaluating this textbook for an upcoming course or research project, let me know if you would like me to map out a based on these chapters, provide Python implementations of the core search algorithms, or analyze specific expert system architectures . Share public link
Most academic institutions provide digital access. Google Books: Great for previewing specific chapters.
The book covers a range of topics, including: