Learning from observations and demonstration (inductive, deductive learning)

1. LEARNING FROM OBSERVATIONS
AND DEMONSTRATION (INDUCTIVE,
DEDUCTIVE LEARNING)
Muhammad Haroon
(Lecturer, UOG Lahore
Sub Campus)

2. INTRODUCTION
To understand the different types of AI learning models, we can
use two of the main elements of human learning processes:
knowledge and feedback.
From the knowledge perspective, learning models can be classified
based on the representation of input and output data points.
In terms of the feedback, AI learning models can be classified
based on the interactions with the outside environment, users and
other external factors.

3. INDUCTIVE LEARNING
Inductive Reasoning allows you make
statements based on evidence you have
collected so far.

4. EXAMPLE
Suppose that there is a kid and A is kid’s father.
It’s A’s job to make kid understand that playing fire or heat can cause burn.
So, A will make kid to understand in such a way that, A will show the kid some
training examples of burnt people, or fire accidents or something like that with
a lable ‘dangerous’.
So kid will learn with that examples and will not try to play with fire.
This method of learning is the ‘inductive learning’.
Observation → Conclusion

5. DEDUCTIVE LEARNING
Deductive Reasoning allows you to make statements that are
entailed by facts that you know. For example I give you these facts:
I watch a movie every Saturday
Today is Saturday
Deductive reasoning allows you to establish the true statement that
I am going to watch a movie today.

6. EXAMPLE
The other method is much easier for A to make kid learn about burns but may
difficult for A.
The method is that A will let the kid to play with fire and just wait to see what
happens. If the kid gets burn, kid will learn don't play with fire and when A
sees fire, you remember it with your incident and will avoid that.
So simple. This method is the ‘deductive learning’.
Conclusion → Observation