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Avoiding frostbite: It helps to learn from others.

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  • 1Department of Psychology,Stanford University,Stanford,CA 94305.mtessler@standford.edungoodman@standford.edumcfrank@stanford.edustanford.edu/~mtessler/noahgoodman.netstanford.edu/~mcfrank/.

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Artificial intelligence (AI) and humans learn faster through social learning, which enables knowledge accumulation across generations. This process is crucial for AI development and understanding complex, abstract concepts.

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Area of Science:

  • Cognitive Science
  • Artificial Intelligence
  • Machine Learning

Background:

  • Human and machine learning capabilities are advancing.
  • Social learning is a key factor in human cognitive development.
  • Understanding social learning is vital for creating sophisticated AI.

Purpose of the Study:

  • To explore the role of social learning in accelerating machine intelligence.
  • To investigate how social learning facilitates access to abstract information.
  • To examine the contribution of social learning to cumulative knowledge in AI and humans.

Main Methods:

  • Review of existing literature on social learning in humans and AI.
  • Analysis of cognitive mechanisms underlying social learning.
  • Conceptual framework development for social learning in artificial intelligence.

Main Results:

  • Social learning significantly speeds up the learning curve for both humans and AI.
  • Language, combined with social learning, unlocks pathways to abstract and unobservable knowledge.
  • Social learning enables intergenerational knowledge transfer, crucial for AI advancement.

Conclusions:

  • Social learning is fundamental for developing AI that can learn and reason like humans.
  • Implementing social learning mechanisms in AI can overcome individual learning limitations.
  • Social learning is essential for the cumulative growth of knowledge in both biological and artificial systems.