Related Experiment Video
Updated: Feb 15, 2026
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VisualEyes: A Modular Software System for Oculomotor Experimentation
Published on: March 25, 2011
13.3K
Children begin with the same start-up software, but their software updates are cultural
Jennifer M Clegg1, Kathleen H Corriveau1
1Boston University School of Education,Boston,MA 02215.jclegg@bu.edukcorriv@bu.eduwww.jennifermclegg.comwww.bu.edu/learninglab.
The Behavioral and Brain Sciences
|January 19, 2018
Summary
Children's cognitive development is influenced by cultural "software updates." Incorporating sociocultural factors is key for creating artificial intelligence that learns and thinks like humans.
Area of Science:
- Cognitive Science
- Developmental Psychology
- Artificial Intelligence
Background:
- Human cognitive abilities develop through a complex interplay of innate predispositions and environmental influences.
- Current models of artificial intelligence (AI) development, such as those discussed by Lake et al., often overlook the significant impact of sociocultural factors on learning.
- Understanding the developmental trajectory of human cognition is crucial for advancing AI research.
Purpose of the Study:
- To propose a theoretical framework where early cognitive development is shaped by culturally specific "software updates."
- To highlight the omission of sociocultural inputs in current AI development discussions.
- To advocate for the integration of sociocultural perspectives to enhance AI's capacity for human-like learning and thinking.
Main Methods:
- Theoretical analysis and synthesis of existing research in developmental psychology and cognitive science.
- Comparative analysis of human cognitive development and current AI learning models.
- Conceptual integration of sociocultural theory into AI development paradigms.
Main Results:
- Children's core cognitive abilities are proposed to be dynamically shaped by culturally dependent learning processes, analogous to software updates.
- The absence of sociocultural input in AI development discussions represents a significant gap in achieving human-like machine intelligence.
- Integrating these sociocultural elements is posited to be a critical step towards developing more sophisticated and adaptable AI.
Conclusions:
- Sociocultural factors play a fundamental role in shaping early cognitive development.
- Future AI research should explicitly incorporate the influence of cultural context to foster more human-like learning capabilities.
- A comprehensive understanding of human development, including its cultural dimensions, is essential for the advancement of artificial intelligence.
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