BCS
AIF
Q1:
What technique can be adopted when a weak learners hypothesis accuracy is only slightly better than 50%?
○
A
Over-fitting○
B
Activation.○
C
Iteration.○
D
Boosting.
BCS
AIF
Q2:
How could machine learning make a robot autonomous?
○
A
Use OCR, optical character recognition, to read documents○
B
Use NLP (Natural Language Processing) to listen○
C
Use actuators to modify its environment○
D
Learn from sensor data and plan to carry out a task.
BCS
AIF
Q3:
What term do computer scientists and economists use to describe how happy an agent is?
○
A
Index.○
B
Warm.○
C
Return○
D
Utility.
BCS
AIF
Q4:
An agent based model is a simul-ation of autonomous agents (individual and collective). What can be used to learn from the data generated by the simul-ations?
○
A
Paraview.○
B
Machine Learning.○
C
Python.○
D
A spreadsheet
BCS
AIF
Q5:
An Al agent relies on its perceptual input. This is called the agent's what?
○
A
Position○
B
Environment○
C
World○
D
Percept