Where is the main foothold of symbolism?

Question

Options

• AThe foothold is in neuron networks and deep learning.
• BThe foothold is reasoning, symbolic reasoning and machine reasoning.
• CThe foothold is perception and action.
• DThe foothold is behavior control, adaptive and evolutionary computing.

• A
  6% (2)
• B
  85% (29)
• C
  6% (2)
• D
  3% (1)

Explanation

Symbolism in artificial intelligence is built on the premise that intelligent behavior can be captured through explicit representations and rule-based manipulation of symbols, making reasoning its core strength. Option B is correct because symbolic AI systems are designed to perform logical inference, apply rules, and derive conclusions from structured knowledge - tasks that fall squarely under symbolic, machine, and logical reasoning.

Option A is wrong because neural networks and deep learning belong to the connectionist paradigm, which learns patterns from data rather than reasoning through explicit symbols. Option C describes embodied or reactive AI, where the focus is on how a system senses its environment and responds - not on symbolic manipulation. Option D points to evolutionary and adaptive computing, which draws from biological processes like natural selection and is a separate branch of AI entirely.

Memory tip: Think of classical logic and mathematics, where symbols (variables, operators) are manipulated by strict rules to reach conclusions - that same idea of rule-governed symbol manipulation is the heart of symbolic AI, so "reasoning" is its natural home.

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