Topics:

1. Heuristic Search Techniques
   • Generate-and-Test
   • Hill Climbing
   • Properties of A* Algorithm
   • Best-first Search
   • Problem Reduction
2. Constraint Satisfaction Problem (CSP)
   • Interference in CSPs
   • Backtracking Search for CSPs
   • Local Search for CSPs
   • Structure of CSP Problem
3. Beyond Classical Search
   • Local Search Algorithms and Optimization Problem
   • Local Search in Continuous Spaces
   • Searching with Nondeterministic Action and Partial Observation
   • Online Search Agent and Unknown Environments

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Link to original note: AI-Learning ResourcesAI-Learning ResourcesTo help you gain a deep understanding of Artificial Intelligence (AI), we'll create a structured learning path based on the provided syllabus. The plan includes a detailed breakdown of each unit, along with recommendations for resources such as research papers, blogs, articles, videos, and other multimedia content. Additionally, we'll suggest methods for annotating and making notes to optimize your learning experience. Unit I - Introduction to AI * Topics1 * Learning Path1 * Multimedia Content