Layer-by-layer exploration ensuring the shortest path in unweighted graphs.
It covers a wide range of topics, including expert systems, fuzzy logic, neural networks, genetic algorithms, and hybrid systems.
Artificial Intelligence and Intelligent Systems is designed as a comprehensive textbook for undergraduate and postgraduate students of computer science, engineering, and information technology. Authored by Dr. N.P. Padhy, a distinguished professor and researcher, the book bridges the gap between theoretical AI concepts and practical engineering applications. Authored by Dr
It extensively covers intelligent systems like (such as ant colony systems), each discussed in detail with case studies to facilitate in-depth understanding.
Forward chaining versus backward chaining. It extensively covers intelligent systems like (such as
Evolutionary computing, selection, crossover, and mutation. Key Learning Features
Artificial Intelligence and Intelligent Systems , authored by Prof. N.P. Padhy (a distinguished academic and director at IIT), serves as a comprehensive gateway to both traditional and modern AI paradigms. Published by Oxford University Press, the book bridges the gap between theoretical foundational algorithms and advanced computational intelligence. Published by Oxford University Press
Organizing structural, categorical datasets visually and textually so intelligent software can infer missing information. 3. Rule-Based and Expert Systems
: Each chapter concludes with exercises and review questions to test understanding. Availability and Resources
Before computers could "learn," they had to be taught how to systematically evaluate options. The book covers fundamental (both uninformed and informed), including: Breadth-First Search (BFS) and Depth-First Search (DFS) A* Search and Heuristic methods Game playing and the Minimax algorithm 2. Knowledge Representation