Case study of Goal based agent through Logical and machine learning

Project Title

Case study of Goal based agent through Logical and machine learning

Project Area of Specialization Artificial IntelligenceProject Summary

We will implement a Goal-based agent (problem-solving agent) to solve problems using  AI Searching Technique Uninformed Search  (BFS (Breadth First Search) , DFS(Depth First Search) , Depth limited search Algorithm, Dijkstra search algorithm ) and Informed search ( Hill Climbing search, Best First Search, A* Algorithm, IDA* Algorithm ) . By using these algorithms we  solve a problem and find a shortest path. And will conclude which one work best to solve a problem.

Project Objectives

Project Objectives:

•To study the search algorithm.

• To compare Dijkstra, A* and IDA* using the following       parameters

•· Time complexity

•· Space complexity

•· Execution time

•· With obstacle

•· Without obstacle

• To design and develop tools for pathfinding

Project Implementation Method

•This section may comprise the followings;

• Building blocks you have designed and implemented.

• Procedures for testing and analysis of each of the blocks.

 Technical skills upon which you have worked on

Benefits of the Project

It will solve a problem more quickly and find a goal without taking time. 

Technical Details of Final Deliverable

Solves a problem.

Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Partnerships to achieve the GoalRequired Resources