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P2 of cogs

Authored by norbit garfunkel

English

University

P2 of cogs
AI

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14 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The principle of compositionality in cognition means:

Cognitive tasks are completed by separate hemispheres

Complex thoughts are formed by combining simpler constituents

Emotions can override logic in decision-making

Words have no intrinsic meaning

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Systematicity refers to the idea that:

Grammar rules are memorized individually

If one can think a thought, one can think systematically unrelated ones

Related concepts are cognitively linked and transferable

Neural networks store entire sentences at once

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the “symbol grounding problem”?

The inability of AI systems to form grammatical sentences

The challenge of mapping physical symbols to their semantic meaning without external interpretation

The limitation of syntax-based programming

The reason why AI can’t store mental imagery

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

“Original intentionality” is different from “derived intentionality” because:

It is programmed by humans

It depends on syntax

It arises from internal, biological or experiential processes

It refers to artificial systems only

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The “frame problem” in AI refers to:

How to encode spatial boundaries in memory

How to limit what knowledge is relevant in a changing environment

Framing moral dilemmas computationally

Visual processing challenges in edge detection

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is not a proposed solution to the frame problem?

Heuristics

Encapsulation

Infinite regress

Sampling

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the significance of Marr and Horn’s “shape-from-shading” theory?

It proved the visual system doesn’t need light

It showed how surface curvature can be recovered from light patterns

It introduced color constancy

It modeled binocular depth using sound

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