Programs, reports, documentation and screenshots implemented and designed for the laboratory coursework on UCS1504: Artificial Intelligence course.

• Problem formulation and assumptions

• Sample problem instance with illustrated result

• For the decantation problem instance
  • Given: filled 8-litre jar, empty 5-litre and 3-litre jars
  • Target: Any one jar filled with exactly 4 litres
  

• Total number of attacks (the inverse utility value) for each next-state position on the board.

1. Performance, Environment, Actuator, Sensor (PEAS) Description Formulation

   • For a face-recognition-based smart attendance system
   • For an online autonomous proctoring system
   • For a collaborative robotic system of agents that can contest in soccer contests
   • Draw a house using primitives
   • Report
     
     

2. The Decantation Problem I

   • State Space Representation Diagram
   • Solved with Breadth-first State Space Search (BFS)
   • Documentation
   • Code on Replit
     
     

3. The Eight Puzzle Problem

   • Solved using the traditional Breadth First Search (BFS) approach
   • Solved using the Bidirectional Breadth First Search (Bi-BFS) approach
   • Documentation
     
     

4. The Decantation Problem II

   • Solved using the Bidirectional Breadth First Search (Bi-BFS) approach
   • Solved using the Iterative Deepening Search approach
   • Documentation
   • Code on Replit
     
     

5. The Eight Queens Problem I

   • Solved using the Hill Climbing approach to find the first incident solution
   • Utility function defined in terms of the total number of attacks
   • Documentation
   • Code on Replit
     
     

6. Polygonal Path Finding Problem

   • Shortest path between two points in a plane with convex polygonal obstacles
   • Randomized problem instance generator implemented through code
   • Solved using the traditional Breadth First Search (BFS) approach
   • Solved using the Best First Greedy Search approach
   • Solved using the A-star (A*) Search approach
   • Empirical performance analysis through code of each search approach
   • Documentation
   • Code on Replit
     
     

7. The Eight Queens Problem II

   • Solved using the Genetic Algorithm approach to find the first incident solution
   • Utility function defined in terms of the total number of attacks
   • Documentation
   • Code on Replit
     
     

8. Arithmetic Expression Search

   • Use the given six integers to arithmetically arrive at a target expression result value
   • Four arithmetic operations are allowed with repitition: addition, subtraction, multiplication and division
   • No fraction may be introduced into the calculation
   • Each given integer may be used at most once
   • If the exact target cannot be arrived at, find the expression with value closest to the target
   • State-space representation of problem is forulated
   • Solved using the Breadth First Search (BFS) approach
   • Documentation
     
     

• Cut-Paste Sort Problem (Python and C++, both)
• Utility functions for BFS