Problem Solving using AI - Anna University - AL 3391 - Artificial Intelligence - Artificial Intelligence and Data Science

Anna University - AL 3391 - Artificial Intelligence - Artificial Intelligence and Data Science

1. Problem solving using ai Artificial Intelligence

2. Problem solving approach to typical ai problems Problems are the issues which comes across any system A solution is needed to solve any problem Classical approach is hit and trial method (Generate and test) AI components required to solve problem Knowledge Representation Heuristic Searching Techniques AI Hardware Computer Vision and Pattern Recognition NLP AI Language Support and tools

3. Problem defining and solving problem Problem Solving The process of identifying a problem, developing possible solution paths, and taking the appropriate course of action. A formal description of the problem is required Aspects of the problem Explicit goal of the problem Implicit criteria for Success Initial Situation Ability to perform

4. Well defined problems Problem Formulation The process of deciding what actions and states to consider given a goal Four components Initial state that the agent starts in A description of the possible actions available to the agent The goal test A path cost function (performance measure) Problem Formulation Types Incremental formulation (starting with an empty state) Complete-state formulation (starting with some basic configuration)

5. Solving the problem Problem Definition Problem Analysis Knowledge Representation Problem Solving

6. Problem Solving agents Goal based agents are called Problem solving agents Steps in Problem Solving Goal Setting Goal Formulation To observe current state To tabulate agents performance measures Problem Formulation Search in unknown environment Execution Phase Problem Solving Agent Sequence of Actions Successful states Generate Act