Introduction to Artificial Intelligence-Agents, Search, Reasoning, and Problem-Solving
in Engineering
Created by
Partha Pratim Ray
About this course
Introduction to Artificial Intelligence: Agents, Search, Reasoning, and Problem-Solving is a foundational textbook that presents artificial intelligence as the disciplined study of rational agents, structured problem formulation, systematic search, reasoning, and decision-making. Written with an emphasis on formal structure, and algorithmic thinking, the book connects classical AI principles with contemporary intelligent systems. Both undergraduate and postgraduate students of computer science and AI seeking a coherent introduction to the theoretical and practical foundations of artificial intelligence can benefit greatly from this book.
Salient Features
- Exhaustive treatment of state-space search, uninformed search, informed search, and heuristics.
- In-depth coverage of optimization, adversarial search, AND–OR search, and constraint satisfaction.
- Structured discussion of knowledge representation, logic, reasoning, and expert systems.
- Real-life applications of AI in agriculture, healthcare, business, transportation and other fields.
- Comprehensive exercises including application and project-based questions, multiple choice questions, short and long answer type questions, true-false questions and fill-in-the-blank activities.
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PPT
17 Parts
Chapter 1
1.42 MB
Chapter 2
1.02 MB
Chapter 3
0.91 MB
Chapter 4
0.8 MB
Chapter 5
0.87 MB
Chapter 6
0.97 MB
Chapter 7
0.83 MB
Chapter 8
0.92 MB
Chapter 9
0.97 MB
Chapter 10
0.93 MB
Chapter 11
0.82 MB
Chapter 12
1.08 MB
Chapter 13
0.88 MB
Chapter 14
1.03 MB
Chapter 15
1.03 MB
Chapter 16
0.86 MB
Chapter 17
1.86 MB
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