π₯5th SEM ARTIFICIAL INTELLIGENCE MODULE 2 NOTES || BCS515B #vtu #viral #ai
?5th SEM ARTIFICIAL INTELLIGENCE MODULE 2 NOTES || BCS515B #vtu #viral #ai This video covers VTU 5th Semester Artificial Intelligence (AI) β Module 2 No...
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π₯5th SEM ARTIFICIAL INTELLIGENCE MODULE 2 NOTES || BCS515B #vtu #viral #ai
This video covers VTU 5th Semester Artificial Intelligence (AI) β Module 2 Notes for the subject BCS515B, focusing on Problem Solving and Search Techniques. Module 2 is one of the most important parts of AI as it deals with how machines can solve problems efficiently using different search strategies.
In this lecture, we explain the fundamentals of problem-solving agents, search space, uninformed and informed search strategies, and heuristics. You will learn how AI systems explore possible states to find optimal solutions.
Topics discussed in Module 2 include:
Problem-Solving Agents
State Space Representation
Uninformed Search Strategies (Breadth-First Search, Depth-First Search, Uniform Cost Search)
Informed Search Strategies (Greedy Best-First Search, A* Algorithm)
Heuristic Functions and their role in AI
Local Search Algorithms and Optimization Problems
This lecture is exam-oriented and explained in a clear and simple way with examples, so that VTU students can easily understand and revise quickly before exams. It is also useful for anyone beginning to learn Artificial Intelligence basics.
This video is perfect for VTU CSE 5th semester students, helping in internals, assignments, model exams, and final exams. Stay tuned for more AI module-wise notes and explanations.
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