A Practical Approach to AI-Based Planning Methods
What you will learn
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Understand and apply machine learning techniques such as Linear Regression and Support Vector Machines (SVM) to solve real-world classification and regression p
Explain the architecture and functionality of Expert Systems, and analyze their role in knowledge-based decision-making processes.
Analyze and implement problem-solving strategies in AI, including Means-End Analysis and Goal Stack Planning, for automated reasoning and goal achievement.
Demonstrate problem representation and planning using classical AI methods, with specific emphasis on structured problems like the Block World Problem.
Evaluate different AI planning techniques and apply them in deterministic and goal-driven environments for intelligent agent design.
Integrate concepts from machine learning and AI planning to build hybrid intelligent systems capable of learning from data and planning actions to achieve goals
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