In philosophical classifications of AI, “Strong AI” refers to which position about machine minds and cognition?
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AThe embodiment of human intellectual capabilities within a computer (machines can genuinely think).
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BPrograms that only mimic intelligent output without genuine understanding.
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CUsing computational models merely to study human mental faculties.
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DAll of the above
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ENone of the above
Answer
Correct Answer: The embodiment of human intellectual capabilities within a computer (machines can genuinely think).
Explanation
Introduction / Context:Artificial intelligence discussions often distinguish between “weak” (or “narrow”) AI and “strong” AI. The distinction is philosophical as much as technical and centers on whether a machine can possess a mind or genuine understanding, as opposed to simply simulating intelligent behavior.
Given Data / Assumptions:
- The question targets the meaning of “Strong AI.”
- Options include weaker positions about simulation or study of mind.
- We assume the standard philosophical usage.
Concept / Approach:Strong AI asserts that suitably programmed computers can have real minds, consciousness, or understanding—not just the appearance of intelligence. In contrast, claims about producing intelligent-looking outputs (option b) or using computers to study cognition (option c) align with weak AI or cognitive modeling perspectives, not Strong AI.
Step-by-Step Solution:
Identify the definition that attributes genuine mentality to machines. Option (a) matches the Strong AI thesis. Reject options describing mere simulation (b) or modeling for study (c). Therefore, select (a).Verification / Alternative check:Philosophy of mind and AI textbooks consistently define Strong AI as the thesis that a computer can literally understand and have mental states if appropriately programmed.
Why Other Options Are Wrong:
- (b) Describes weak AI: simulation without claim of understanding.
- (c) Describes computational cognitive science, not Strong AI.
- (d) “All” is false because the three positions conflict.
- (e) “None” is false because (a) is correct.
Common Pitfalls:Confusing success in tasks with claims about consciousness; equating performance benchmarks with philosophical commitments.
Final Answer:The embodiment of human intellectual capabilities within a computer (machines can genuinely think).