Artificial Intelligence BSSE 5th Semester Quiz

Course Overview

• Course code: SEAI-365
• Credit Hours: 3 (2+1)
• Prerequisite: Data Structure
• Assessment:
  • Quizzes: 10
  • Assignments: 10
  • Presentation/Project: 5
  • Mid Term: 25
  • Final Term: 50
  • Total: 100
• Instructor: MS. Sehrish Maqbool

Introduction to Artificial Intelligence

• AI aims to create a "Digital Brain" that mimics the biological brain's ability to think and reason.
• It involves programming computers or robots to think intelligently, similar to human cognition.

Goals of Artificial Intelligence

• Create Expert Systems: Systems that demonstrate intelligent behavior, can learn, explain, and advise users.
• Implement Human Intelligence in Machines: Develop systems that replicate human understanding, thinking, and behavior.

Definitions of Artificial Intelligence

• Various definitions categorize AI based on approaches to thinking and acting like humans.
• Examples include:
  • Thinking Humanly: Mimicking human thought processes.
  • Acting Humanly: Creating machines that perform intelligent tasks.
  • Thinking Rationally: Studying mental faculties through computational models.
  • Acting Rationally: Automating activities associated with human thinking.

Understanding Intelligence

• Intelligence encompasses the capabilities to:
  • Calculate and reason.
  • Perceive relationships and analogies.
  • Learn from experiences.
  • Store and retrieve information effectively.
  • Solve problems and comprehend complex ideas.
  • Use natural language fluently, classify, generalize, and adapt.

Examples Illustrating Intelligence

• Maze Problem:

  • A mouse navigating a maze exemplifies problem-solving intelligence by exploring various paths to reach cheese.

• Number Sequence Problem:

  • Solving the sequence (1, 3, 7, 13, 21, ____) requires identifying patterns (adding consecutive even numbers) and demonstrates numerical processing capability.

• Timetable Scheduling:

  • Designing a timetable for many students in limited rooms highlights the complexity of scheduling, showcasing the demand for high-level problem-solving and organizational skills.