Page 39 - UR221 Creative & Scientific Thinking_Neat

3.11 Brainstorming in Artificial Intelligence

Figure 3.3: Creative Thinking in Debugging solution

This solution anticipates edge cases and improves program robustness.

3.11 Brainstorming in Artificial Intelligence

In AI development, brainstorming is essential for:

ˆ eature selection F

ˆ odel architecture design M

ˆ ptimization strategies O
Example: Feature Brainstorming For a student performance prediction model, possible

features include:

ˆ tudy hours S
ˆ ttendance A

ˆ ssignment scores A

ˆ articipation P
ˆ nline activity O

Creative brainstorming improves model accuracy and relevance.

3.12 Decision Making in Creative Problem Solving

After generating ideas, solutions must be evaluated using scientific and logical criteria:
ˆ easibility F

ˆ fficiency E

ˆ ost C

ˆ eliability R
ˆ calability S

This step ensures that creativity is aligned with practical constraints.

30