Editing Semantics and the Cooperative Principle (section)

== <span style="color: #FFFFFF;">Applying</span> ==
'''Modeling 'The Gricean Inference' (Calculating 'Implicature' from 'Flouting'):'''
<syntaxhighlight lang="python">
def infer_meaning(literal_statement, expected_maxim, context):
    """
    Shows how we 'decode' non-literal speech.
    """
    if "Weather" in literal_statement and context == "Rain" and expected_maxim == "Quality":
        return "INFERENCE: IRONY. (Speaker means the weather is terrible)."
    elif len(literal_statement) < 5 and expected_maxim == "Quantity":
        return "INFERENCE: DISMISSAL. (Speaker is hiding information or uninterested)."
    else:
        return "INFERENCE: LITERAL. (Cooperative Principle in effect)."

# Case: Saying 'Lovely' in a rainstorm
print(infer_meaning("Lovely weather!", "Quality", "Rain"))
</syntaxhighlight>

; Semantic Landmarks
: '''The 'Logic and Conversation' Lectures''' (1967) → The "Origin" of the theory: where Grice "Defined" the "Maxims" and the "Cooperative Principle."
: '''Relevance Theory''' (Sperber/Wilson) → (See Article 160). The "Modern Update": "Arguing" that "Communication" is "Driven" "Solely" by the "Human Desire" for **"Maximum Relevance"** with **"Minimum Effort."**
: '''Politeness Theory''' (Brown/Levinson) → (See Article 630). "Explaining" "Why" we "Break Maxims" to **"Save Face"** and "Be Polite" (e.g. 'Could you...' instead of 'Do...').
: '''Turing Test''' → (See Article 629). The "Ultimate Semantic Challenge": can a **"Machine"** "Understand" and "Use" **"Conversational Implicature"** like a human?
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