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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
Experimental evidence for scale-induced category convergence across populations
Douglas Guilbeault1,2, Andrea Baronchelli3,4, Damon Centola5,6,7,8
1The Haas School of Business, The University of California, Berkeley, Berkeley, CA, 94720, USA.
Large groups converge on similar category systems, despite individual differences. This scale-induced category convergence in large populations explains how diverse societies develop shared cultural patterns.
Area of Science:
- Cognitive Science
- Social Science
- Cultural Evolution
Background:
- Individual variation in categorization is significant.
- Large social groups were theorized to lead to divergent cultural trajectories due to path dependence in category formation.
- Anthropological data shows large, independent societies develop similar category systems.
Purpose of the Study:
- Investigate how diverse populations independently construct similar category systems.
- Explain the apparent contradiction between individual variation and societal-level convergence.
- Examine the role of communication network size in category formation.
Main Methods:
- Experimental study using an online "Grouping Game".
- Observation of category system construction in small and large populations.
- Development of a formal model of critical mass dynamics in social networks.
Main Results:
- Solitary individuals and small groups formed highly divergent category systems.
- Large populations consistently converged on highly similar category systems across independent trials.
- The formal model accurately predicted scale-induced category convergence.
Conclusions:
- Large communication networks filter individual lexical diversity.
- Scale-induced category convergence leads to replicable society-level patterns.
- Findings challenge previous theories and offer new insights into cultural evolution.
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