Problem-solving is an essential topic in Artificial Intelligence study and application. It is concerned with solving mathematical problems and clues such as puzzles. This study is primarily concerned with the ability of some searching algorithms such as Restricted Boltzmann Machines, Message Passing, Breadth First Search and Depth First Search to Solve Sudoku puzzle problems in the area of AI. For each of these methods, a code in Java language will be written and executed so that performance analysis can take place. A comparison analysis between the selected algorithms will be done. The analysis will cover some parameters such as time, space, optimality, completeness.
Inhaltsverzeichnis (Table of Contents)
- I. INTRODUCTION
- II. SEARCHING ALGORITHMS
- 21. Restricted Boltzmann Machine algorithm (RBM)
- 32. Message Passing algorithm (MP)
- 3. Breadth First Search algorithm (BFS)
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
The primary objective of this research is to analyze the performance of various searching algorithms when applied to solving Sudoku puzzles, a classic NP-Complete problem in Artificial Intelligence. This analysis aims to evaluate the efficiency and effectiveness of these algorithms in tackling real-world AI challenges.
- Performance Analysis of Searching Algorithms
- Application of Searching Algorithms to Sudoku Puzzles
- Evaluation of Algorithm Efficiency and Effectiveness
- Comparison of Algorithm Performance Metrics
- Understanding the Complexity of NP-Complete Problems
Zusammenfassung der Kapitel (Chapter Summaries)
- I. INTRODUCTION: This chapter introduces the concept of problem solving in AI, emphasizing the importance of searching algorithms. It defines key terms like initial state, successor function, and goal test. The Sudoku puzzle is introduced as a relevant NP-Complete problem.
- II. SEARCHING ALGORITHMS: This chapter provides detailed descriptions of four searching algorithms: Restricted Boltzmann Machine (RBM), Message Passing (MP), and Breadth First Search (BFS). Each algorithm is discussed in terms of its theoretical foundation, implementation details, and specific strengths and weaknesses.
Schlüsselwörter (Keywords)
The primary keywords and focus topics of this research include: tree graph, Sudoku puzzles, problem solving, time complexity, completeness, Restricted Boltzmann Machine (RBM), Message Passing (MP), Breadth First Search (BFS), NP-Complete problems, Artificial Intelligence.
- Quote paper
- Mohamed Eshtawie (Author), Waafa Alrahman (Author), Nuri Elshamam (Author), 2021, Performance Analysis of Searching Algorithms, Munich, GRIN Verlag, https://www.hausarbeiten.de/document/1134609
