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Related Experiment Videos

Development as a dynamic system.

Linda B. Smith1, Esther Thelen

  • 1Department of Psychology, Program in Cognitive Science, Indiana University, 1101 East 10th Street, 47405, Bloomington, IN, USA

Trends in Cognitive Sciences
|August 9, 2003
PubMed
Summary
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Development involves complex dynamic systems, where real-time interactions drive emergent changes. Studying multicausality in these processes is key to understanding developmental change over time, using infant reaching as a model.

Area of Science:

  • Developmental psychology
  • Complex dynamic systems theory
  • Infant motor development

Background:

  • Development is characterized by increasing complexity from simpler states.
  • A dynamic systems framework views development as emergent from local interactions.
  • Understanding real-time processes is crucial for developmental insights.

Purpose of the Study:

  • To explore the role of multicausality in real-time developmental processes.
  • To demonstrate how studying emergent properties can explain developmental change.
  • To use infant perseverative reaching as a case study for this approach.

Main Methods:

  • Examining theoretical frameworks of complex dynamic systems.
  • Analyzing multicausality within real-time developmental interactions.

Related Experiment Videos

  • Investigating infant perseverative reaching behaviors.

    • Main Results:

    • Developmental change can be understood as emergent from decentralized, real-time interactions.
    • Multicausality in local interactions is a key factor in developmental trajectories.
    • Infant reaching provides a valuable model for studying these dynamic processes.

    Conclusions:

    • Understanding developmental change requires focusing on the multicausality of real-time processes.
    • The dynamic systems approach offers a powerful lens for developmental research.
    • Further research into emergent properties can illuminate developmental trajectories.