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Questions and Answers
What is artificial intelligence?
The study to create a digital brain that can think, reason, and learn like a biological brain.
What are the goals of artificial intelligence?
Artificial intelligence is only concerned with automating mechanical tasks.
False
AI aims to create machines that can think like ________.
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What is one example that demonstrates intelligence in problem-solving?
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What is the next number in the sequence 1, 3, 7, 13, 21, ___?
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What is one characteristic of intelligence?
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Study Notes
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
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Maze Problem:
- A mouse navigating a maze exemplifies problem-solving intelligence by exploring various paths to reach cheese.
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Number Sequence Problem:
- Solving the sequence (1, 3, 7, 13, 21, ____) requires identifying patterns (adding consecutive even numbers) and demonstrates numerical processing capability.
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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.
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Description
This quiz covers the foundational concepts of Artificial Intelligence as part of the BSSE 5th semester curriculum. Students will explore core principles and theories that define AI, along with essential frameworks used in its development. Prepare to test your understanding of AI fundamentals as outlined in the SEAI-365 course.