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Common Sense Reasoning

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TL;DR. The ability of AI systems to make inferences and judgments based on a broad, implicit understanding of the world, similar to humans.

Technical Definition

The ability of AI systems to make inferences and judgments based on a broad, implicit understanding of the world, similar to humans.

How it works

Common sense reasoning is a grand challenge in AI, aiming to equip machines with the intuitive knowledge that humans gain through everyday life. This involves understanding context, making pragmatic inferences, and handling incomplete information. It is crucial for developing robust and adaptable AI systems that can interact naturally with humans.

Related Concepts

  • Knowledge Representation — How facts and relationships are encoded so a system can reason over them.
  • Symbolic AI — An approach to AI that attempts to represent human knowledge explicitly using symbols and rules.
  • Cognitive Architectures — Integrated computational frameworks designed to model an entire range of human-like cognitive capabilities, such as perception, reasoning, and learning.