Page 204 - AI Ver 3.0 class 10_Flipbook
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W , ensuring the decision leans towards playing Cricket unless they are certain the ground is small. Conversely,
B
someone less inclined towards physical activities might assign a higher value to W , prioritising a game like Tambola
B
regardless of the size of the picnic spot. In the example below, we set W to 4 to reflect a cautious approach in
B
decision-making.
Perceptron: Go for Picnic
Should I bring a cricket kit?
3.5
Should I bring a Tambola game Weighted Activation
to play? 2.5 Sum Function Output
1.5 ∑ Y
Will there be big playground to
play Cricket?
1.0
4.0
Will there be food outlets nearby? B
The values of the weight can be anything and there is no right or wrong answer to it. However, whether they are
playing Cricket or Tambola will be determined by values that are chosen. This is the reason why everyone gets
different decisions, even though the situation/conditions are the same for everyone.
Scenario 1: In reality the ground is big, there are no food outlets around the place, we have the cricket kit and
we do not have tambola so, we assign YES or NO to the factors. We can convert the YES to 1 and NO to 0, and for
bias, we always take 1.
Perceptron: Go for Picnic
YES(1)
Should I bring a cricket kit?
3.5
12 I N G O O
B B I N G
B I N G O
12 12 8 8 28 8 28 15 28 15 2 15 2
Should I bring a Tambola Weighted Activation 60 67 60 67 39 26 9 9
24 39 26
60 67 39 26 9
FLAT 47 63
FLAT
24 24 1 11 11 11 BACKGROUND47 63 1 NO(0)
FLAT
BINGO
BINGO
BINGO
BACKGROUND
BACKGROUND 47 62
1 48 38 22
game to play? 2.5 Sum Function Output 1 www.bingobackground.com 54 48 38 22 5 77 5
48 38 22 5
13 13 77
26 54 62
26 54 62 62 13
26
www.bingobackground.com
www.bingobackground.com 77
1.5 ∑ Y
Will there be big playground
YES(1)
to play cricket?
1.0
4.0
Will there be food outlets B NO(0)
nearby?
Scenario 1 YES(1)
202 Touchpad Artificial Intelligence (Ver. 3.0)-X

