AI philosophy: What is the standard definition of Weak AI in the context of artificial intelligence research?

Introduction / Context:
Weak AI and Strong AI are philosophical positions about the goals and interpretations of AI systems. The question checks whether you can distinguish weak AI (simulation of intelligence) from strong AI (actual mind equivalence).

Given Data / Assumptions:

• Weak AI: machines act as if intelligent for tasks.
• Strong AI: machines possess minds with consciousness and understanding.
• Cognitive modeling is a separate methodological stance.

Concept / Approach:
Weak AI asserts that achieving behaviorally intelligent performance suffices for practical AI; it does not claim the system truly ‘‘understands.’’ Hence, the correct description focuses on outputs judged intelligent by human standards.

Step-by-Step Solution:

Verification / Alternative check:
Textbook treatments define weak AI as constructing systems that act intelligently without metaphysical claims about consciousness.

Why Other Options Are Wrong:

• Strong AI embodiment is not weak AI.
• Cognitive science modeling aims to explain mind; it is not the weak AI definition.
• ‘‘All of the above’’ mixes incompatible stances.

Common Pitfalls:
Assuming weak AI denies usefulness; it simply remains agnostic about genuine understanding.

Final Answer:
A set of programs that produce outputs considered intelligent if a human produced them