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Emergence in cognitive science.

James L McClelland1

  • 1Department of Psychology, Stanford University.

Topics in Cognitive Science
|August 29, 2014
PubMed
Summary
This summary is machine-generated.

Human intelligence research has shifted from symbolic to emergent approaches. Complex cognitive functions are now viewed as arising from simpler, nonsymbolic processes, challenging future AI development.

Keywords:
DevelopmentEmergenceExplanationHistoryLanguageModelingNeural networks

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Area of Science:

  • Cognitive Science
  • Artificial Intelligence
  • Neuroscience

Background:

  • Historically, human intelligence research relied on symbolic approaches.
  • Over the past 30 years, an alternative perspective emphasizing emergent properties has gained prominence.

Purpose of the Study:

  • To re-evaluate cognitive science constructs through the lens of emergence.
  • To explore the implications of emergent phenomena for understanding human cognition and artificial systems.

Main Methods:

  • Conceptual analysis of cognitive science constructs.
  • Review of the shift from symbolic to nonsymbolic processing in intelligence research.

Main Results:

  • Cognitive science constructs, including representational and architectural elements, are increasingly understood as emergent.
  • Human cognitive achievements may largely be emergent phenomena.
  • Developmental processes and outcomes are also framed as emergent.

Conclusions:

  • The emergent perspective offers a powerful framework for understanding complex cognition.
  • Future research should focus on elucidating the mechanisms of emergence in cognition.
  • Emulating emergent cognitive abilities in artificial systems presents a significant future challenge.