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Session on Artificial Intelligence

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Session on Artificial Intelligence

Session on Artificial Intelligence

1. DATE: 6 March, 2019

2. NAME OF ACTIVITY

3. TIME: 1:30PM to 3:00PM

4. VENUE: LT 18 ECE

5. NO. OF STUDENTS and Faculties PARTICIPATED: 20

6. ORGANIZED BY: Dr. OS Lamba

BRIEF DESCRIPTION OF THE WORKSHOP:

The session was on Artificial intelligence with its objectives and scope.

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems

Learning Objectives

  • Understand the concept and evolution of artificial intelligence
  • Understand the importance of knowledge in decision support
  • Describe the concept and evolution of rule-based expert systems (ES)
  • Characteristics of artificial intelligence
  • Symbolic processing (AI deals primarily with symbolic, nonalgorithmic methods of problem solving)
  • Numeric versus symbolic: symbolic processing is the core of AI
  • Algorithmic versus heuristic: human processes tend to be nonalgorithmic (relies on rules learned from experience)
  • Heuristics intuitive knowledge learned from experience.

By using heuristics, we do not have to rethink completely what to do every time we encounter a similar problem.

AI methods use heuristics to reduce the complexity of problem solving

OUR GALLERY

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