Key Concepts - Week Ten

Question 1

AI (Artificial Intelligence):

Answer 1

The simulation of human intelligence in machines

Question 2

Expert System:

Answer 2

A computer system that mimics the decision-making ability of a human expert

Also an intelligent/knowledge-based system for capturing tacit knowledge in a very specific and limited domain of human expertise, capturing the knowledge of skilled employees in the form of a set of rules in a software system that can be used by others in the organization

Question 3

Rule-Based System:

Answer 3

A software system based on a set of if-then rules and inference engine

Question 4

Inference Engine:

Answer 4

The software that processes rules to draw conclusions

Question 5

Machine Learning:

Answer 5

A subset of AI where computers learn from data without being explicitly programmed

Can recognize patterns, gains experience, uses prior learnings (database), supervised vs. unsupervised learning

Question 6

NLP (Natural Language Processing):

Answer 6

Technology that enables computers to understand, interpret, and respond to human language

Question 7

Neural Networks:

Answer 7

AI systems designed to simulate the way the human brain analyzes & processes information

Find patterns and relationships in massive amounts of data too complicated for humans to analyze.

Humans “train” networks by feeding it data inputs for which outputs are known, to help neural networks learn solutions by example from human experts