Editing Prototype Theory (section)

== <span style="color: #FFFFFF;">Applying</span> ==
'''Modeling 'The Typicality Check' (Measuring how 'Far' an object is from the prototype):'''
<syntaxhighlight lang="python">
def calculate_typicality(object_traits, prototype_traits):
    """
    Shows how 'Bird-like' something is.
    """
    match_score = 0
    for trait in object_traits:
        if trait in prototype_traits:
            match_score += 1
            
    percentage = (match_score / len(prototype_traits)) * 100
    
    if percentage > 80: return f"RESULT: A CORE MEMBER ({percentage}%)"
    elif percentage > 40: return f"RESULT: A PERIPHERAL MEMBER ({percentage}%)"
    else: return f"RESULT: OUTLIER (Not in category)."

# Prototype 'Bird': ['Flies', 'Sings', 'Has Feathers', 'Small']
robin_traits = ['Flies', 'Sings', 'Has Feathers', 'Small']
penguin_traits = ['Has Feathers'] # Doesn't fly or sing

print(calculate_typicality(robin_traits, robin_traits))
print(calculate_typicality(penguin_traits, robin_traits))
</syntaxhighlight>

; Prototype Landmarks
: '''The 'Tomato' Debate''' → A perfect "Boundary" case: "Biologically" a fruit, but "Prototypically" a vegetable because of its "Usage" (Savory/Salad).
: '''Medical Diagnosis''' → Doctors often use prototypes. "This patient has a 'Typical case' of the flu." If a patient has "Non-typical" symptoms, the "Category" fails.
: '''Stereotyping''' → (See Article 479). A "Stereotype" is a "Social Prototype." We take the "Average (or extreme)" traits of a group and "Apply" them to every individual, causing "Cognitive Bias."
: '''Fuzzy Logic Controllers''' → Used in "Washing Machines" and "Subways" to "Adjust Power" based on "Fuzzy Categories" (e.g. 'Very Hot,' 'Moderately Dirty') rather than just 'ON/OFF.'
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